Cuckoo search for business optimization applications
Conference paper
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
Type | Conference paper |
---|---|
Title | Cuckoo search for business optimization applications |
Authors | Yang, X., Deb, S., Karamanoglu, M. and He, X. |
Abstract | Cuckoo search has become a popular and powerful metaheuristic algorithm for global optimization. In business optimization and applications, many studies have focused on support vector machine and neural networks. In this paper, we use cuckoo search to carry out optimization tasks and compare the performance of cuckoo search with support vector machine. By testing benchmarks such as project scheduling and bankruptcy predictions, we conclude that cuckoo search can perform better than support vector machine. |
Keywords | Algorithm design and analysis; Business; Optimization; Particle swarm optimization; Prediction algorithms; Search problems; Support vector machines; algorithm; cuckoo search; metaheuristics; optimization; swarm intelligence |
Conference | National Conference on Computing and Communication Systems (NCCCS) |
Proceedings Title | 2012 National Conference on Computing and Communication Systems |
ISBN | |
Electronic | 9781467319539 |
Hardcover | 9781467319522 |
Publisher | IEEE |
Publication dates | |
Online | 17 Jan 2013 |
Publication process dates | |
Deposited | 25 Mar 2013 |
Completed | Nov 2012 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1109/NCCCS.2012.6412973 |
Web of Science identifier | WOS:000316362900006 |
Language | English |
File |
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