Swarm Intelligence Algorithms Two Volume Set

The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications.

Swarm Intelligence Algorithms  Two Volume Set

Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This set comprises two volumes: Swarm Intelligence Algorithms: A Tutorial and Swarm Intelligence Algorithms: Modifications and Applications. The first volume thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ programming language, as well as numerical examples illustrating step-by-step how individual algorithms work. The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.

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Swarm Intelligence Algorithms (Two Volume Set)
Language: en
Pages: 768
Authors: Adam Slowik
Categories: Computers
Type: BOOK - Published: 2020-08-19 - Publisher: CRC Press

Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples
Swarm Intelligence Algorithms (Two Volume Set)
Language: en
Pages: 768
Authors: Adam Slowik
Categories: Computers
Type: BOOK - Published: 2021-01-26 - Publisher: CRC Press

Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples
Advances in Swarm Intelligence
Language: en
Pages: 657
Authors: Ying Tan, Yuhui Shi, Ben Niu
Categories: Computers
Type: BOOK - Published: 2016-06-15 - Publisher: Springer

This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The 130 revised regular papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in 22 cohesive
Advances in Swarm Intelligence, Part II
Language: en
Pages: 587
Authors: Ying Tan, Yuhui Shi, Yi Chai, Guoyin Wang
Categories: Computers
Type: BOOK - Published: 2011-06-06 - Publisher: Springer

The two-volume set (LNCS 6728 and 6729) constitutes the refereed proceedings of the International Conference on Swarm Intelligence, ICSI 2011, held in Chongqing, China, in June 2011. The 143 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers are organized in topical sections on theoretical
Advances in Swarm Intelligence
Language: en
Pages: 641
Authors: Ying Tan, Hideyuki Takagi, Yuhui Shi, Ben Niu
Categories: Computers
Type: BOOK - Published: 2017-07-18 - Publisher: Springer

The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were