A heuristic optimization method inspired by wolf preying behavior
Article
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
Type | Article |
---|---|
Title | A heuristic optimization method inspired by wolf preying behavior |
Authors | Fong, S., Deb, S. and Yang, X. |
Abstract | Optimization problems can become intractable when the search space undergoes tremendous growth. Heuristic optimization methods have therefore been created that can search the very large spaces of candidate solutions. These methods, also called metaheuristics, are the general skeletons of algorithms that can be modified and extended to suit a wide range of optimization problems. Various researchers have invented a collection of metaheuristics inspired by the movements of animals and insects (e.g., firefly, cuckoos, bats and accelerated PSO) with the advantages of efficient computation and easy implementation. This paper studies a relatively new bio-inspired heuristic optimization algorithm called the Wolf Search Algorithm (WSA) that imitates the way wolves search for food and survive by avoiding their enemies. The WSA is tested quantitatively with different values of parameters and compared to other metaheuristic algorithms under a range of popular non-convex functions used as performance test problems for optimization algorithms, with superior results observed in most tests. |
Keywords | Metaheuristic; Bio-inspired optimization; Wolf Search Algorithm |
Publisher | Springer |
Journal | Neural Computing and Applications |
ISSN | 0941-0643 |
Electronic | 1433-3058 |
Publication dates | |
Online | 10 Feb 2015 |
Oct 2015 | |
Publication process dates | |
Deposited | 19 Apr 2016 |
Accepted | 23 Jan 2015 |
Submitted | 16 Sep 2014 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s00521-015-1836-9 |
Web of Science identifier | WOS:000360005900017 |
Language | English |
https://repository.mdx.ac.uk/item/86414
39
total views0
total downloads0
views this month0
downloads this month