(Ebook) Swarm Intelligence Algorithms: Modifications and Applications by Adam Slowik ISBN 9780429422607, 9781138391017, 0429422601, 1138391018, 2020018734, 2020018735
Nature-based algorithms play an important role among artificialintelligence algorithms. Among them are global optimization algorithms calledswarm intelligence algorithms. These algorithms that use the behavior of simpleagents and various ways of cooperation between them, are used to solve specificproblems that are defined by the so-called objective function. Swarmintelligence algorithms are inspired by the social behavior of various animalspecies, e.g. ant colonies, bird flocks, bee swarms, schools of fish, etc. Thefamily of these algorithms is very large and additionally includes varioustypes of modifications to enable swarm intelligence algorithms to solveproblems dealing with areas other than those for which they were originallydeveloped.This book presents 24 swarm algorithms together with their modificationsand practical applications. Each chapter is devoted to one algorithm. Itcontains a short description along with a pseudo-code showing the variousstages of its operation. In addition, each chapter contains a description ofselected modifications of the algorithm and shows how it can be used to solve aselected practical problem.This book should also be useful for undergraduate and postgraduatestudents studying nature-based optimization algorithms, and can be a helpfultool for learning these algorithms, along with their modifications andpractical applications. In addition, it can be a useful source of knowledge forscientists working in the field of artificial intelligence, as well as forengineers interested in using this type of algorithms in their work.If the reader wishes to expand his knowledge beyond the basics of swarmintelligence algorithms presented in this book and is interested in moredetailed information, we recommend the book "Swarm IntelligenceAlgorithms: A Tutorial" (Edited by A. Slowik, CRC Press, 2020). Itcontains a detailed explanation of how each algorithm works, along withrelevant program codes in Matlab and the C ++ programming language, as well as numericalexamples illustrating step-by-step how individual algorithms work.
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