Eagle strategy using Lévy walk and firefly algorithm for stochastic optimization
Book chapter
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
Chapter title | Eagle strategy using Lévy walk and firefly algorithm for stochastic optimization |
---|---|
Authors | Yang, X. and Deb, S. |
Abstract | Most global optimization problems are nonlinear and thus difficult to solve, and they become even more challenging when uncertainties are present in objective functions and constraints. This paper provides a new two-stage hybrid search method, called Eagle Strategy, for stochastic optimization. This strategy intends to combine the random search using Lévy walk with the firefly algorithm in an iterative manner. Numerical studies and results suggest that the proposed Eagle Strategy is very efficient for stochastic optimization. Finally practical implications and potential topics for further research will be discussed. |
Keywords | Particle Swarm Optimization; Local Search; Stochastic Optimization; Random Search; Sequential Quadratic Programming |
Page range | 101-111 |
Book title | Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) |
Editors | González, J., Pelta, D, Cruz, C., Terrazas, G. and Krasnogor, N. |
Publisher | Springer |
Series | Studies in Computational Intelligence |
ISBN | |
Hardcover | 9783642125379 |
Electronic | 9783642125386 |
Paperback | 9783642263071 |
ISSN | 1860-949X |
Electronic | 1860-9503 |
Publication dates | |
27 Apr 2010 | |
Online | 16 Apr 2010 |
Publication process dates | |
Deposited | 21 Nov 2012 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-12538-6_9 |
Web of Science identifier | WOS:000279943400009 |
Language | English |
Permalink -
https://repository.mdx.ac.uk/item/83wqy
54
total views0
total downloads5
views this month0
downloads this month