Bat algorithm for topology optimization in microelectronic applications

Conference paper

Yang, X., Karamanoglu, M. and Fong, S. 2012. Bat algorithm for topology optimization in microelectronic applications. 1st International Conference on Future Generation Communication Technology. London, UK 12 - 14 Dec 2012 IEEE. pp. 150-155 https://doi.org/10.1109/FGCT.2012.6476566
TypeConference paper
TitleBat algorithm for topology optimization in microelectronic applications
AuthorsYang, X., Karamanoglu, M. and Fong, S.
Abstract

In many design applications, designers often have to find the best geometrical configurations so as to achieve certain objectives with the minimum amount of materials used. Such shape or topology optimization problems are usually much harder to solve than nonlinear optimization problems in a fixed domain. In this paper, we use the recently developed bat algorithm to solve topology optimization problems. Results show that the distribution of different topological characteristics such as materials can be achieved efficiently. We have also tested the bat algorithm by solving nonlinear design benchmarks. Results suggest that bat algorithm is very efficient for solving nonlinear global optimization problems as well as topology optimization.

KeywordsBat algorithm; inverse problem; optimization algorithm; topology optimization; metaheuristics
Conference1st International Conference on Future Generation Communication Technology
Page range150-155
Proceedings TitleThe First International Conference on Future Generation Communication Technologies
ISSN2377-262X
Electronic2377-2638
ISBN
Electronic9781467358613
Hardcover9781467358590
PublisherIEEE
Publication dates
Online11 Mar 2013
Publication process dates
Deposited25 Sep 2013
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1109/FGCT.2012.6476566
Web of Science identifierWOS:000317289400028
LanguageEnglish
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Yang, X. and He, X. 2015. Swarm intelligence and evolutionary computation: overview and analysis. in: Yang, X. (ed.) Recent advances in swarm intelligence and evolutionary computation Springer.
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Fister, I., Strnad, D., Yang, X. and Fister, I. 2015. Adaptation and hybridization in nature-inspired algorithms. in: Fister, I. and Fister, I. (ed.) Adaptation and Hybridization in Computational Intelligence Springer.
Solutions of non-smooth economic dispatch problems by swarm intelligence
Hosseini, S., Yang, X., Gandomi, A. and Nemati, A. 2015. Solutions of non-smooth economic dispatch problems by swarm intelligence. in: Fister, I. and Fister, I. (ed.) Adaptation and Hybridization in Computational Intelligence Springer.
A short discussion about economic optimization design of shell-and-tube heat exchangers by a cuckoo-search-algorithm
Fister, I., Fister, I. and Yang, X. 2015. A short discussion about economic optimization design of shell-and-tube heat exchangers by a cuckoo-search-algorithm. Applied Thermal Engineering. 76, pp. 535-537. https://doi.org/10.1016/j.applthermaleng.2014.11.009
Feature selection in life science classification: metaheuristic swarm search
Fong, S., Deb, S., Yang, X. and Li, J. 2014. Feature selection in life science classification: metaheuristic swarm search. IT Professional. 16 (4), pp. 24-29. https://doi.org/10.1109/MITP.2014.50
Diversity and mechanisms in swarm intelligence
Yang, X. 2014. Diversity and mechanisms in swarm intelligence. International Journal of Swarm Intelligence Research. 5 (2), pp. 1-12. https://doi.org/10.4018/ijsir.2014040101
Swarm intelligence based algorithms: a critical analysis
Yang, X. 2014. Swarm intelligence based algorithms: a critical analysis. Evolutionary Intelligence. 7 (1), pp. 17-28. https://doi.org/10.1007/s12065-013-0102-2
Planning the sports training sessions with the bat algorithm
Fister, I., Rauter, S., Yang, X., Ljubič, K. and Fister, I. 2015. Planning the sports training sessions with the bat algorithm. Neurocomputing. 149, pp. 993-1002. https://doi.org/10.1016/j.neucom.2014.07.034
Boundary element analysis of spherical and radome shells
Karamanoglu, M. 1992. Boundary element analysis of spherical and radome shells. PhD thesis Middlesex Polytechnic School of Mechanical and Manufacturing Engineering
An energy-efficient resource allocation for optimal downlink coverage in heterogeneous wireless cellular networks
Vien, Q., Le, T., Nguyen, H. and Karamanoglu, M. 2015. An energy-efficient resource allocation for optimal downlink coverage in heterogeneous wireless cellular networks. 2015 International Symposium on Wireless Communication Systems (ISWCS). Brussels, Belgium 25 - 28 Aug 2015 IEEE. pp. 156-160 https://doi.org/10.1109/ISWCS.2015.7454318
A short discussion about "Economic optimization design of shell-and-tube heat exchangers by a cuckoo-search-algorithm"
Fister, I. (Jr.), Fister, I. and Yang, X. 2015. A short discussion about "Economic optimization design of shell-and-tube heat exchangers by a cuckoo-search-algorithm". Applied Thermal Engineering. 76, pp. 535-537. https://doi.org/10.1016/j.applthermaleng.2014.11.009
Bio-inspired exploring and recruiting tasks in a team of distributed robots over mined regions
De Rango, F., Palmieri, N., Yang, X. and Marano, S. 2015. Bio-inspired exploring and recruiting tasks in a team of distributed robots over mined regions. SPECTS 2015 : International Symposium on Performance Evaluation of Computer and Telecommunication Systems. Chicago, IL, USA 26 - 29 Jul 2015 IEEE. pp. 1-8
Modified bat algorithm with quaternion representation
Fister, I., Brest, J., Fister, I. and Yang, X. 2015. Modified bat algorithm with quaternion representation. IEEE Congress on Evolutionary Computation (CEC 2015). Sendai, Japan 25 - 28 May 2015 IEEE. pp. 491-498 https://doi.org/10.1109/CEC.2015.7256930
A heuristic optimization method inspired by wolf preying behavior
Fong, S., Deb, S. and Yang, X. 2015. A heuristic optimization method inspired by wolf preying behavior. Neural Computing and Applications. 26 (7), pp. 1725-1738. https://doi.org/10.1007/s00521-015-1836-9
Sizing optimization of truss structures using flower pollination algorithm
Bekdaş, G., Nigdeli, S. and Yang, X. 2015. Sizing optimization of truss structures using flower pollination algorithm. Applied Soft Computing. 37, pp. 322-331. https://doi.org/10.1016/j.asoc.2015.08.037
Color image segmentation by cuckoo search
Nandy, S., Yang, X., Sarkar, P. and Das, A. 2015. Color image segmentation by cuckoo search. Intelligent Automation & Soft Computing: An International Journal . 21 (4), pp. 673-685.
Random-key cuckoo search for the travelling salesman problem
Ouaarab, A., Ahiod, B. and Yang, X. 2015. Random-key cuckoo search for the travelling salesman problem. Soft Computing. 19 (4), pp. 1099-1106. https://doi.org/10.1007/s00500-014-1322-9
Secure information transmission and power transfer in cellular networks
Le, T., Nguyen, H., Vien, Q. and Karamanoglu, M. 2015. Secure information transmission and power transfer in cellular networks. IEEE Communications Letters. 19 (9), pp. 1532-1535. https://doi.org/10.1109/LCOMM.2015.2454514
A biologically inspired network design model
Zhang, X., Adamatzky, A., Chan, F., Deng, Y., Yang, H., Yang, X., Tsompanas, M., Sirakoulis, G. and Mahadevan, S. 2015. A biologically inspired network design model. Scientific Reports. 5 (1). https://doi.org/10.1038/srep10794
Optimum design of frame structures using the eagle strategy with differential evolution
Talatahari, S., Gandomi, A., Yang, X. and Deb, S. 2015. Optimum design of frame structures using the eagle strategy with differential evolution. Engineering Structures. 91, pp. 16-25. https://doi.org/10.1016/j.engstruct.2015.02.026
Analysis of randomisation methods in swarm intelligence
Fister, I. (Jr.), Yang, X., Brest, J., Fister, D. and Fister, I. 2015. Analysis of randomisation methods in swarm intelligence. International Journal of Bio-Inspired Computation. 7 (1), pp. 36-49. https://doi.org/10.1504/IJBIC.2015.067989
Analysis of quality-of-service aware orthogonal frequency division multiple access system considering energy efficiency
Ting, T., Yang, X., Lee, S. and Chien, S. 2014. Analysis of quality-of-service aware orthogonal frequency division multiple access system considering energy efficiency. IET Communications. 8 (11), pp. 1947-1954. https://doi.org/10.1049/iet-com.2013.1161
Design and development of an automatic tool changer for an articulated robot arm
Ambrosio, H. and Karamanoglu, M. 2014. Design and development of an automatic tool changer for an articulated robot arm. 27th International Conference on CADCAM, Robotics and Factories of the Future 2014. London, United Kingdom 22 - 24 Jul 2014 IOP Publishing. pp. 1-6 https://doi.org/10.1088/1757-899X/65/1/012023
Implementing gait pattern control and transition for legged locomotion
Yang, Z., Rocha, M., Lima, P., Karamanoglu, M. and Franca, F. 2014. Implementing gait pattern control and transition for legged locomotion. 27th International Conference on CADCAM, Robotics and Factories of the Future 2014. London, United Kingdom 22 - 24 Jul 2014 IOP Publishing. pp. 1-7 https://doi.org/10.1088/1757-899X/65/1/012008
A novel improved accelerated particle swarm optimization algorithm for global numerical optimization
Wang, G., Hossein Gandomi, A., Yang, X. and Hossein Alavi, A. 2014. A novel improved accelerated particle swarm optimization algorithm for global numerical optimization. Engineering Computations. 31 (7), pp. 1198-1220. https://doi.org/10.1108/EC-10-2012-0232
Oil supply between OPEC and non-OPEC based on game theory
Chang, Y., Yi, J., Yan, W., Yang, X., Zhang, S., Gao, Y. and Wang, X. 2014. Oil supply between OPEC and non-OPEC based on game theory. International Journal of Systems Science. 45 (10), pp. 2127-2132. https://doi.org/10.1080/00207721.2012.762562
Advances of swarm intelligent systems in gene expression data classification
Talatahari, E., Talatahari, S., Gandomi, A. and Yang, X. 2014. Advances of swarm intelligent systems in gene expression data classification. Journal of Multiple-Valued Logic and Soft Computing. 22 (3), pp. 307-315.
Bat algorithm is better than intermittent search strategy
Yang, X., Deb, S. and Fong, S. 2014. Bat algorithm is better than intermittent search strategy. Journal of Multiple-Valued Logic and Soft Computing. 22 (3), pp. 223-237.
A legged central pattern generation model for autonomous gait transition
Yang, Z., Rocha, M., Lima, P., Karamanoglu, M. and Franca, F. 2014. A legged central pattern generation model for autonomous gait transition. 2014 IEEE International Joint Conference on Neural Networks (IJCNN). Beijing, China 06 - 11 Jul 2014 IEEE. pp. 1992-1995 https://doi.org/10.1109/IJCNN.2014.6889779
Nature-inspired optimization algorithms
Yang, X. 2014. Nature-inspired optimization algorithms. Elsevier.
Non-dominated sorting cuckoo search for multiobjective optimization
He, X., Li, N. and Yang, X. 2014. Non-dominated sorting cuckoo search for multiobjective optimization. 2014 IEEE Symposium on Swarm Intelligence (SIS). Orlando, Florida 09 - 12 Dec 2014 IEEE. pp. 1-7 https://doi.org/10.1109/SIS.2014.7011772
Computational optimization, modelling and simulation: past, present and future
Yang, X., Koziel, S. and Leifsson, L. 2014. Computational optimization, modelling and simulation: past, present and future. 5th workshop on Computational Optimization, Modelling and Simulations (COMS 2014) at the ICCS 2014. Cairns, Australia 10 - 12 Jun 2014 Elsevier. pp. 754-758 https://doi.org/10.1016/j.procs.2014.05.067
Discrete cuckoo search algorithm for job shop scheduling problem
Ouaarab, A., Ahiod, B., Yang, X. and Abbad, M. 2014. Discrete cuckoo search algorithm for job shop scheduling problem. 2014 IEEE International Symposium on Intelligent Control (ISIC). France 08 - 10 Oct 2014 IEEE. pp. 1872-1876 https://doi.org/10.1109/ISIC.2014.6967636
Nature-inspired framework for hyperspectral band selection
Nakamura, R., Garcia Fonseca, L., Dos Santos, J., Da S. Torres, R., Yang, X. and Papa, J. 2014. Nature-inspired framework for hyperspectral band selection. IEEE Transactions on Geoscience and Remote Sensing. 52 (4), pp. 2126-2137. https://doi.org/10.1109/TGRS.2013.2258351
A discrete firefly algorithm for the multi-objective hybrid flowshop scheduling problems
Marichelvam, M., Prabaharan, T. and Yang, X. 2014. A discrete firefly algorithm for the multi-objective hybrid flowshop scheduling problems. IEEE Transactions on Evolutionary Computation. 18 (2), pp. 301-305. https://doi.org/10.1109/TEVC.2013.2240304
Binary bat algorithm
Mirjalili, S., Mirjalili, S. and Yang, X. 2014. Binary bat algorithm. Neural Computing and Applications. 25 (3-4), pp. 663-681. https://doi.org/10.1007/s00521-013-1525-5
Bat algorithm based on simulated annealing and Gaussian perturbations
He, X., Ding, W. and Yang, X. 2014. Bat algorithm based on simulated annealing and Gaussian perturbations. Neural Computing and Applications. 25 (2), pp. 459-468. https://doi.org/10.1007/s00521-013-1518-4
Discrete cuckoo search algorithm for the travelling salesman problem
Ouaarab, A., Ahiod, B. and Yang, X. 2014. Discrete cuckoo search algorithm for the travelling salesman problem. Neural Computing and Applications. 24 (7-8), pp. 1659-1669. https://doi.org/10.1007/s00521-013-1402-2
Cuckoo search: recent advances and applications
Yang, X. and Deb, S. 2014. Cuckoo search: recent advances and applications. Neural Computing and Applications. 24 (1), pp. 169-174. https://doi.org/10.1007/s00521-013-1367-1
Chaotic bat algorithm
Gandomi, A. and Yang, X. 2014. Chaotic bat algorithm. Journal of Computational Science. 5 (2), pp. 224-232. https://doi.org/10.1016/j.jocs.2013.10.002
Mathematical modelling and parameter optimization of pulsating heat pipes
Yang, X., Karamanoglu, M., Luan, T. and Koziel, S. 2014. Mathematical modelling and parameter optimization of pulsating heat pipes. Journal of Computational Science. 5 (2), pp. 119-125. https://doi.org/10.1016/j.jocs.2013.12.003
An empirical study of test effort estimation based on bat algorithm
Srivastava, P., Bidwai, A., Khan, A., Rathore, K., Sharma, R. and Yang, X. 2014. An empirical study of test effort estimation based on bat algorithm. International Journal of Bio-Inspired Computation. 6 (1), pp. 57-70. https://doi.org/10.1504/IJBIC.2014.059966
Bio-inspired computation: success and challenges of IJBIC
Yang, X. and Cui, Z. 2014. Bio-inspired computation: success and challenges of IJBIC. International Journal of Bio-Inspired Computation. 6 (1), pp. 1-6. https://doi.org/10.1504/IJBIC.2014.059969
A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest
Rodrigues, D., Pereira, L., Nakamura, R., Costa, K., Yang, X., Souza, A. and Papa, J. 2014. A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest. Expert Systems with Applications. 41 (5), pp. 2250-2258. https://doi.org/10.1016/j.eswa.2013.09.023
Improved cuckoo search algorithm for hybrid flow shop scheduling problems to minimize makespan
Marichelvam, M., Prabaharan, T. and Yang, X. 2014. Improved cuckoo search algorithm for hybrid flow shop scheduling problems to minimize makespan. Applied Soft Computing. 19, pp. 93-101. https://doi.org/10.1016/j.asoc.2014.02.005
A bio-inspired algorithm for identification of critical components in the transportation networks
Zhang, X., Adamatzky, A., Yang, H., Mahadaven, S., Yang, X., Wang, Q. and Deng, Y. 2014. A bio-inspired algorithm for identification of critical components in the transportation networks. Applied Mathematics and Computation. 248, pp. 18-27. https://doi.org/10.1016/j.amc.2014.09.055
A firefly-inspired method for protein structure prediction in lattice models
Maher, B., Albrecht, A., Loomes, M., Yang, X. and Steinhofel, K. 2014. A firefly-inspired method for protein structure prediction in lattice models. Biomolecules. 4 (1), pp. 56-75. https://doi.org/10.3390/biom4010056
True global optimality of the pressure vessel design problem: a benchmark for bio-inspired optimisation algorithms
Yang, X., Huyck, C., Karamanoglu, M. and Khan, N. 2013. True global optimality of the pressure vessel design problem: a benchmark for bio-inspired optimisation algorithms. International Journal of Bio-Inspired Computation. 5 (6), pp. 329-335. https://doi.org/10.1504/IJBIC.2013.058910
Applications and analysis of bio-inspired eagle strategy for engineering optimization
Yang, X., Karamanoglu, M., Ting, T. and Zhao, Y. 2014. Applications and analysis of bio-inspired eagle strategy for engineering optimization. Neural Computing and Applications. 25 (2), pp. 411-420. https://doi.org/10.1007/s00521-013-1508-6
Flower pollination algorithm: a novel approach for multiobjective optimization
Yang, X., Karamanoglu, M. and He, X. 2014. Flower pollination algorithm: a novel approach for multiobjective optimization. Engineering Optimization. 46 (9), pp. 1222-1237. https://doi.org/10.1080/0305215X.2013.832237
Random walks, Lévy flights, Markov chains and metaheuristic optimization
Yang, X., Ting, T. and Karamanoglu, M. 2013. Random walks, Lévy flights, Markov chains and metaheuristic optimization. in: Future information communication technology and applications: ICFICE 2013 Springer Netherlands.
Are motorways rational from slime mould's point of view?
Adamatzky, A., Akl, S., Alonso-Sanz, R., Van Dessel, W., Ibrahim, Z., Ilachinski, A., Jones, J., Kayem, A., Martínez, G., De Oliveira, P., Prokopenko, M., Schubert, T., Sloot, P., Strano, E. and Yang, X. 2013. Are motorways rational from slime mould's point of view? International Journal of Parallel, Emergent and Distributed Systems. 28 (3), pp. 230-248. https://doi.org/10.1080/17445760.2012.685884
Advances in simulation-driven optimization and modelling
Koziel, S., Leifsson, L. and Yang, X. 2012. Advances in simulation-driven optimization and modelling. Journal of Computational Methods in Science and Engineering. 12 (1-2), pp. 1-4. https://doi.org/10.3233/JCM-2012-0400
Metaheuristic algorithms for self-organizing systems: a tutorial
Yang, X. 2012. Metaheuristic algorithms for self-organizing systems: a tutorial. in: Self-Adaptive and Self-Organizing Systems (SASO), 2012 IEEE Sixth International Conference on IEEE Conference Publications. pp. 249 -250
Integrating nature-inspired optimization algorithms to K-means clustering
Tang, R., Fong, S., Yang, X. and Deb, S. 2012. Integrating nature-inspired optimization algorithms to K-means clustering. in: Seventh International Conference on Digital Information Management (ICDIM), IEEE Conference Publications. pp. 116-123
Wolf search algorithm with ephemeral memory
Rui, T., Fong, S., Yang, X. and Deb, S. 2012. Wolf search algorithm with ephemeral memory. in: Seventh International Conference on Digital Information Management (ICDIM), 2012 IEEE Conference Publications. pp. 165 -172
Metaheuristic applications in structures and infrastructures
Gandom, A., Yang, X., Talatahari, S. and Alavi, A. 2013. Metaheuristic applications in structures and infrastructures. Elsevier.
Multi-objective flower algorithm for optimization
Yang, X., Karamanoglu, M. and He, X. 2013. Multi-objective flower algorithm for optimization. 2013 International Conference on Computational Science . Barcelona, Spain. 05 - 07 Jun 2013 Elsevier. pp. 861- 868 https://doi.org/10.1016/j.procs.2013.05.251
Optimal test sequence generation using firefly algorithm
Srivatsava, P., Mallikarjun, B. and Yang, X. 2013. Optimal test sequence generation using firefly algorithm. Swarm and Evolutionary Computation. 8, pp. 44-53. https://doi.org/10.1016/j.swevo.2012.08.003
Multiobjective firefly algorithm for continuous optimization
Yang, X. 2013. Multiobjective firefly algorithm for continuous optimization. Engineering with Computers. 29 (2), pp. 175-184. https://doi.org/10.1007/s00366-012-0254-1
Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
Gandomi, A., Yang, X. and Alavi, A. 2013. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. Engineering with Computers. 29 (1), pp. 17-35. https://doi.org/10.1007/s00366-011-0241-y
Multiobjective cuckoo search for design optimization
Yang, X. and Deb, S. 2013. Multiobjective cuckoo search for design optimization. Computers and Operations Research. 40 (6), pp. 1616-1624. https://doi.org/10.1016/j.cor.2011.09.026
Flower pollination algorithm for global optimization
Yang, X. 2012. Flower pollination algorithm for global optimization. in: Unconventional Computation and Natural Computation: 11th International Conference, UCNC 2012, Orléan, France, September 3-7, 2012. Proceedings Berlin Springer.
Parameter estimation from laser flash experiment data
Wright, L., Yang, X., Matthews, C., Chapman, L. and Roberts, S. 2011. Parameter estimation from laser flash experiment data. in: Computational optimization and applications in engineering and industry studies in computational intelligence Berlin Springer.
Benchmark problems in structural optimization
Gandomi, A. and Yang, X. 2011. Benchmark problems in structural optimization. in: Koziel, S. and Yang, X. (ed.) Computational optimization, methods and algorithms Springer.
Computational optimization: an overview
Yang, X. and Koziel, S. 2011. Computational optimization: an overview. in: Computational Optimization, Methods and Algorithms Springer.
Engineering optimisation by cuckoo search
Yang, X. and Deb, S. 2010. Engineering optimisation by cuckoo search. International Journal of Mathematical Modelling and Numerical Optimisation. 1 (4), pp. 330 -343. https://doi.org/10.1504/IJMMNO.2010.03543
Engineering optimization: an introduction with metaheuristic applications
Yang, X. 2010. Engineering optimization: an introduction with metaheuristic applications. New Jersey John Wiley & Sons.
Metaheuristics in water, geotechnical and transport engineering
Yang, X., Gandomi, A., Talatahari, S. and Alavi, A. 2012. Metaheuristics in water, geotechnical and transport engineering. Elsevier.
The co-design experience: conceptual models and design tools for mass customisation
Herd, K., Bardill, A. and Karamanoglu, M. 2009. The co-design experience: conceptual models and design tools for mass customisation. in: Piller, F. and Tseng, M. (ed.) Advances in mass customization and personalization London, UK World Scientific Publishing Co. Pte Ltd.
Mass customisation. What are we designing?
Herd, K., Karamanoglu, M. and Bardill, A. 2011. Mass customisation. What are we designing? 2011 World Conference on Mass Customization, Personalization, and Co-Creation. San Francisco, CA, USA 16 - 19 Nov 2011
Rare events forecasting using a residual-feedback GMDH neural network
Fong, S., Nannan, Z., Wong, R. and Yang, X. 2012. Rare events forecasting using a residual-feedback GMDH neural network. in: Seventh International Conference onDigital Information Management (ICDIM), 2012 IEEE Conference Publications. pp. 464-473
Cuckoo search for business optimization applications
Yang, X., Deb, S., Karamanoglu, M. and He, X. 2012. Cuckoo search for business optimization applications. National Conference on Computing and Communication Systems (NCCCS). Durgapur, West Bengal, India 21 - 22 Nov 2012 IEEE. https://doi.org/10.1109/NCCCS.2012.6412973
Bat algorithm for constrained optimization tasks
Gandomi, A., Yang, X., Alavi, A. and Talatahari, S. 2012. Bat algorithm for constrained optimization tasks. Neural Computing and Applications. 22 (6), pp. 1239-1255. https://doi.org/10.1007/s00521-012-1028-9
Efficiency analysis of swarm intelligence and randomization techniques
Yang, X. 2012. Efficiency analysis of swarm intelligence and randomization techniques. Journal of Computational and Theoretical Nanoscience. 9 (2), pp. 189-198. https://doi.org/10.1166/jctn.2012.2012
Modelling of a pulsating heat pipe and start up asymptotics
Yang, X. and Luan, T. 2012. Modelling of a pulsating heat pipe and start up asymptotics. Procedia Computer Science. 9, pp. 784-791. https://doi.org/10.1016/j.procs.2012.04.084
Computational optimization, modelling and simulation: smart algorithms and better models
Yang, X., Koziel, S. and Leifsson, L. 2012. Computational optimization, modelling and simulation: smart algorithms and better models. Procedia Computer Science. 9, pp. 852-856. https://doi.org/10.1016/j.procs.2012.04.091
Free lunch or no free lunch: that is not just a question?
Yang, X. 2012. Free lunch or no free lunch: that is not just a question? International Journal on Artificial Intelligence Tools. 21 (3). https://doi.org/10.1142/S0218213012400106
Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization
Gandomi, A., Yang, X., Talatahari, S. and Deb, S. 2012. Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization. Computers and Mathematics with Applications. 63 (1), pp. 191-200. https://doi.org/10.1016/j.camwa.2011.11.010
Bat algorithm: a novel approach for global engineering optimization
Yang, X. and Gandomi, A. 2012. Bat algorithm: a novel approach for global engineering optimization. Engineering Computations. 29 (5), pp. 464-483. https://doi.org/10.1108/02644401211235834
Evolutionary boundary constraint handling scheme
Gandomi, A. and Yang, X. 2012. Evolutionary boundary constraint handling scheme. Neural Computing and Applications. 21 (6), pp. 1449-1462. https://doi.org/10.1007/s00521-012-1069-0
Two-stage eagle strategy with differential evolution
Yang, X. and Deb, S. 2012. Two-stage eagle strategy with differential evolution. International Journal of Bio-Inspired Computation. 4 (1), pp. 1-5. https://doi.org/10.1504/IJBIC.2012.044932
Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect
Yang, X., Hosseini, S. and Gandomi, A. 2012. Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect. Applied Soft Computing. 12 (3), pp. 1180-1186. https://doi.org/10.1016/j.asoc.2011.09.017
Design and development of a pole climbing surveillance robot
Erbil, M., Prior, S., Karamanoglu, M., Odedra, S., Barlow, C., Bell, J., Brazinskas, M. and New Zealand Rapid Product Development Conference 2011. Design and development of a pole climbing surveillance robot. Auckland, New Zealand AUT University.
Investigating the use of unmanned plant machinery on construction sites
Barlow, C., Prior, S., Erbil, M., Lewis, D., Brazinskas, M., Mielniczek, W., Bell, J., Irps, T. and Karamanoglu, M. 2010. Investigating the use of unmanned plant machinery on construction sites. ICMES.
Development of a low-cost SLAM radar for applications in robotics.
Irps, T., Prior, S., Lewis, D., Mielniczek, W., Brazinskas, M., Barlow, C. and Karamanoglu, M. 2010. Development of a low-cost SLAM radar for applications in robotics. ICMES.
Development of a test-rig for exploring optimal conditions of small unmanned aerial vehicle co-axial rotor systems
Bell, J., Brazinskas, M., Prior, S., Barlow, C., Erbil, M. and Karamanoglu, M. 2010. Development of a test-rig for exploring optimal conditions of small unmanned aerial vehicle co-axial rotor systems. ICMES. pp. 439-444
Accelerated particle swarm optimization and support vector machine for business optimization and applications
Yang, X., Deb, S. and Fong, S. 2011. Accelerated particle swarm optimization and support vector machine for business optimization and applications. Fong, S. (ed.) NDT 2011: International Conference on Networked Digital Technologies. Macau, China 11 - 13 Jul 2011 Springer. pp. 53-66 https://doi.org/10.1007/978-3-642-22185-9_6
Bat algorithm for multi-objective optimisation
Yang, X. 2011. Bat algorithm for multi-objective optimisation. International Journal of Bio-Inspired Computation. 3 (5), pp. 267-274. https://doi.org/10.1504/IJBIC.2011.042259
Mixed variable structural optimization using Firefly Algorithm
Gandomi, A., Yang, X. and Alavi, A. 2011. Mixed variable structural optimization using Firefly Algorithm. Computers and Structures. 89 (23-24), pp. 2325-2336. https://doi.org/10.1016/j.compstruc.2011.08.002
Blending arts and sciences: gimmick or necessity?
Prior, S., Karamanoglu, M. and Bradley, M. 2008. Blending arts and sciences: gimmick or necessity? in: Proceedings of the higher education academy international conference on innovation, good practice and research in engineering education conference. Loughborough The higher education academy, engineering subject centre. pp. 1-12
Developing a low-cost beer dispensing robotic system for the service industry
Barlow, C., Lewis, D., Bell, J., Irps, T., Prior, S., Erbil, M. and Karamanoglu, M. 2010. Developing a low-cost beer dispensing robotic system for the service industry. 25th International Conference on CAD/CAM, Robotics and Factories of the Future. Pretoria, South Africa 13 - 16 Jul 2010
Development of a design probe to reveal customer touch points in the sale of mass customised products
Herd, K., Bardill, A. and Karamanoglu, M. 2009. Development of a design probe to reveal customer touch points in the sale of mass customised products. Design principles and practices. 3 (3), pp. 193-208.
Investigating the use of the coanda effect to create novel unmanned aerial vehicles.
Barlow, C., Lewis, D., Prior, S., Odedra, S., Erbil, M., Karamanoglu, M. and Collins, R. 2009. Investigating the use of the coanda effect to create novel unmanned aerial vehicles. International Conference on Manufacturing and Engineering Systems. Proceedings.
Reconfigurable unmanned aerial vehicles.
Erbil, M., Prior, S., Karamanoglu, M., Odedra, S., Barlow, C. and Lewis, D. 2009. Reconfigurable unmanned aerial vehicles. International Conference on Manufacturing and Engineering Systems. Proceedings.
Investigating the mobility of unmanned ground vehicles.
Odedra, S., Prior, S. and Karamanoglu, M. 2009. Investigating the mobility of unmanned ground vehicles. International Conference on Manufacturing and Engineering Systems. Proceedings.
The future of battlefield micro air vehicle systems.
Prior, S., Shen, S., Karamanoglu, M., Odedra, S., Erbil, M., Barlow, C. and Lewis, D. 2009. The future of battlefield micro air vehicle systems. International Conference on Manufacturing and Engineering Systems. Proceedings.
A new metaheuristic bat-inspired algorithm
Yang, X. 2010. A new metaheuristic bat-inspired algorithm. in: González, J., Pelta, D., Cruz, C., Terrazas, G. and Krasnogor, N. (ed.) Nature Inspired Cooperative Strategies for Optimization (NISCO 2010) Berlin Springer.
Eagle strategy using Lévy walk and firefly algorithm for stochastic optimization
Yang, X. and Deb, S. 2010. Eagle strategy using Lévy walk and firefly algorithm for stochastic optimization. in: González, J., Pelta, D, Cruz, C., Terrazas, G. and Krasnogor, N. (ed.) Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) Springer. pp. 101-111
Optimization and data mining for fracture prediction in geosciences
Shi, G. and Yang, X. 2010. Optimization and data mining for fracture prediction in geosciences. Procedia Computer Science. 1 (1), pp. 1359-1366. https://doi.org/10.1016/j.procs.2010.04.151
Firefly algorithm, stochastic test functions and design optimisation
Yang, X. 2010. Firefly algorithm, stochastic test functions and design optimisation. International Journal of Bio-Inspired Computation. 2 (2), pp. 78-84. https://doi.org/10.1504/IJBIC.2010.032124
Oil and gas assessment of the Kuqa depression of Tarim Basin in western China by simple fluid flow models of primary and secondary migrations of hydrocarbons
Shi, G., Zhang, Q., Yang, X. and Mi, S. 2010. Oil and gas assessment of the Kuqa depression of Tarim Basin in western China by simple fluid flow models of primary and secondary migrations of hydrocarbons. Journal of Petroleum Science and Engineering. 75 (1-2), pp. 77-90. https://doi.org/10.1016/j.petrol.2010.10.009
Optimising cash flows in APVIOBPCS using control theory
White, A.S., Prior, S., Censlive, M. and Karamanoglu, M. 2010. Optimising cash flows in APVIOBPCS using control theory. ICMES.
X-ray specs, stickers and colouring in: seeing beyond the configurator using design probes
Herd, K., Bardill, A. and Karamanoglu, M. 2009. X-ray specs, stickers and colouring in: seeing beyond the configurator using design probes. The 5th International Conference on Mass Customization and Personalization. Helsinki, Finland 04 - 08 Oct 2009
Development of a climbing robot platform to provide temporary surveillance in urban environments
Erbil, M., Prior, S., Odedra, S., Karamanoglu, M. and Shen, S. 2009. Development of a climbing robot platform to provide temporary surveillance in urban environments. 13th HCI International Conference - Posters.. Town and Country Resort & Convention Center, San Diego, CA, USA 19 - 24 Jul 2009 pp. 840-844
Development of a co-axial tri-rotor UAV.
Prior, S., Karamanoglu, M., Odedra, S., Foran, T. and Erbil, M. 2009. Development of a co-axial tri-rotor UAV. Bristol University of Bristol Department of Aerospace Engineering..
The problems with design education in the UK.
Prior, S., Karamanoglu, M., Shen, S. and International Association of Societies of Design Research. 2007. The problems with design education in the UK. in: IASDR07 proceedings emerging trends in design research. Hong Kong Hong Kong Polytechnic University.
Unmanned aerial vehicle comprising a triangular array of rotors.
Prior, S., Odedra, S., Karamanoglu, M., Erbil, M. and Foran, T. 2009. Unmanned aerial vehicle comprising a triangular array of rotors.
Firefly algorithms for multimodal optimization
Yang, X. 2009. Firefly algorithms for multimodal optimization. in: Stochastic Algorithms: Foundations and Applications; 5th International Symposium, SAGA 2009, Sapporo, Japan, October 26-28, 2009. Proceedings Springer.
Cuckoo search via Lévy flights
Yang, X. and Deb, S. 2009. Cuckoo search via Lévy flights. in: World Congress on Nature & Biologically Inspired Computing (NaBIC 2009) IEEE Publications. pp. 210-214
The co-design experience: conceptual models and design toolsfor mass customization
Herd, K., Bardill, A. and Karamanoglu, M. 2009. The co-design experience: conceptual models and design toolsfor mass customization. in: Piller, F. and Tseng, M. (ed.) Handbook of Research in Mass Customization and Personalization World Scientific Publishing Co. Pte Ltd.
Increasing the trafficability of unmanned ground vehicles through intelligent morphing
Odedra, S., Prior, S., Karamanoglu, M. and Shen, S. 2009. Increasing the trafficability of unmanned ground vehicles through intelligent morphing. Dai, J., Zoppi, M. and Kong, X. (ed.) International Conference on Reconfigurable Mechanisms and Robots, ReMAR 2009. London, UK 22 - 24 Jun 2009 IEEE. pp. 665-672
Using acoustic sensor technologies to create a more terrain capable unmanned ground vehicle
Odedra, S., Prior, S., Karamanoglu, M., Erbil, M. and Shen, S. 2009. Using acoustic sensor technologies to create a more terrain capable unmanned ground vehicle. Harris, D. (ed.) 8th International Conference on Engineering Psychology and Cognitive Ergonomics (EPCE). San Diego, CA, USA 19 - 24 Jul 2009 Berlin, Heidelberg Springer. https://doi.org/10.1007/978-3-642-02728-4_61
Development of a novel platform for greater situational awareness in the urban military terrain
Prior, S., Shen, S-T., White, A.S., Odedra, S., Karamanoglu, M., Erbil, M. and Foran, T. 2009. Development of a novel platform for greater situational awareness in the urban military terrain. Harris, D. (ed.) 8th International Conference on Engineering Psychology and Cognitive Ergonomics (EPCE). San Diego, CA, USA 19 - 24 Jul 2009 Berlin Springer. pp. 120-125 https://doi.org/10.1007/978-3-642-02728-4_13
Designing for co-design: using the product envelope model as a framework for reflection.
Bardill, A., Herd, K. and Karamanoglu, M. 2007. Designing for co-design: using the product envelope model as a framework for reflection. Proceedings of the World Conference on Mass Customization & Personalization (MCPC), Innovation and Research Conference. Cambridge/Boston, MA, USA 07 - 10 Oct 2007
Product envelopes: designing positive interplay between brand DNA and customer co-designers
Bardill, A., Herd, K. and Karamanoglu, M. 2007. Product envelopes: designing positive interplay between brand DNA and customer co-designers. International Journal of Mass Customization. 2 (1/2), pp. 57-75. https://doi.org/10.1504/IJMASSC.2007.012813
Product design as a vehicle to integrate arts and sciences in design education
Karamanoglu, M., Bardill, A. and Prior, S. 2007. Product design as a vehicle to integrate arts and sciences in design education. in: Proceedings of the International Association of Societies of Design Research, Emerging Trends in Design Research, 12-15 November 2007, Hong Kong International Association of Societies of Design Research, Emerging Trends in Design Research.
Improving the mobility performance of autonomous unmanned ground vehicles by adding the ability to 'Sense/Feel' their local environment.
Karamanoglu, M., Odedra, S. and Prior, S. 2007. Improving the mobility performance of autonomous unmanned ground vehicles by adding the ability to 'Sense/Feel' their local environment. in: Shumaker, R. (ed.) Virtual Reality - Second International Conference, ICVR 2007, Held as Part of HCI International 2007, Beijing, China, July 22-27, 2007 Springer.
Towards solving the mobility issues of unmanned ground vehicles.
Karamanoglu, M., Odedra, S. and Prior, S. 2007. Towards solving the mobility issues of unmanned ground vehicles. Gerhart, G., Gage, D. and Shoemaker, C. (ed.) Defence and Security Symposium. Orlando, Florida, United States 09 - 13 Apr 2007 Society of Photo-optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.721495
Comparing the personality type of design students in the UK and Taiwan
Prior, S., Shen, S., White, A.S. and Karamanoglu, M. 2007. Comparing the personality type of design students in the UK and Taiwan. Dainoff, M. (ed.) Ergonomics and health aspects of work with computers: International Conference, EHAWC 2007, Held as Part of HCI International Conference. Beijing, China,
Control of Ship capsize in stern quartering seas
White, A.S., Gleeson, P. and Karamanoglu, M. 2007. Control of Ship capsize in stern quartering seas. International Journal of Simulation, Systems, Science & Technology. 8 (2), pp. 20-31.
Using personality type differences to form engineering design teams
Shen, S., Prior, S., White, A.S. and Karamanoglu, M. 2007. Using personality type differences to form engineering design teams. Engineering Education. 2 (2), pp. 54-66.
Pleasure-based design approaches to the built environment
Bardill, A., Karamanoglu, M. and Herd, K. 2005. Pleasure-based design approaches to the built environment. Proceedings of the Institution of Civil Engineers - Municipal Engineer. 158 (3), pp. 183-193. https://doi.org/10.1680/muen.2005.158.3.183
Modelling the response of masonry structures to gas explosions
Wong, C. and Karamanoglu, M. 1999. Modelling the response of masonry structures to gas explosions. Journal of Loss Prevention in the Process Industries. 12 (3), pp. 199-205. https://doi.org/10.1016/S0950-4230(98)00058-8