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题名/责任者:

Constraint handling in cohort intelligence algorithm / Ishaan R. Kale and Anand J. Kulkarni.

版本说明:

First edition.

出版发行项:

Boca Raton : CRC Press, Taylor & Francis Group, 2022.

ISBN:

9781032156576

ISBN:

9781032150758

载体形态项:

vi, 200 pages : illustrations ; 25 cm.

丛编说明:

Advances in metaheuristics

个人责任者:

Kale, Ishaan R., author.

附加个人名称:

Kulkarni, Anand Jayant, author.

论题主题:

Artificial intelligence.

论题主题:

Computational intelligence.

论题主题:

Algorithms.

中图法分类号:

TP18

书目附注:

Includes bibliographical references and index.

摘要附注:

"Mechanical Engineering domain problems are generally complex, consisting of different design variables and constraints. These problems may not be solved using gradient-based optimization techniques. The stochastic nature-inspired optimization techniques have been proposed in this book to efficiently handle the complex problems. The nature-inspired algorithms are classified as bio-inspired, swarm, and physics/chemical-based algorithms. Socio-inspired is one of the subdomains of bio-inspired algorithms, and Cohort Intelligence (CI) models the social tendencies of learning candidates with an inherent goal to achieve the best possible position. In this book, CI is investigated by solving ten discrete variable truss structural problems, eleven mixed variable design engineering problems, seventeen linear and nonlinear constrained test problems and two real-world applications from manufacturing domain. Static Penalty Function (SPF) is also adopted to handle the linear and nonlinear constraints, and limitations in CI and SPF approaches are examined. Constraint Handling in Cohort Intelligence Algorithm is a valuable reference to practitioners working in the industry as well as to students and researchers in the area of optimization methods"--

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