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Foraging-Inspired Optimisation Algorithms

This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for optimization, they...

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Main Authors: Brabazon, Anthony. (Author, http://id.loc.gov/vocabulary/relators/aut), McGarraghy, Seán. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Natural Computing Series,
Subjects:
Computers.
Computational intelligence.
Artificial intelligence.
Operations research.
Management science.
Decision making.
Theory of Computation.
Computational Intelligence.
Artificial Intelligence.
Operations Research, Management Science.
Operations Research/Decision Theory.
Online Access:https://doi.org/10.1007/978-3-319-59156-8

Internet

https://doi.org/10.1007/978-3-319-59156-8

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