An Algorithm for Global Optimization Inspired by Collective Animal Behavior
A metaheuristic algorithm for global optimization called the collective animal behavior (CAB) is introduced. Animal groups, such as schools of fish, flocks of birds, swarms of locusts, and herds of wildebeest, exhibit a variety of behaviors including swarming about a food source, milling around a ce...
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Main Authors: | Erik Cuevas, Mauricio González, Daniel Zaldivar, Marco Pérez-Cisneros, Guillermo García |
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Format: | Article |
Language: | English |
Published: |
Wiley
2012-01-01
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2012/638275 |
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