Constraint Handling in Cohort Intelligence Algorithm

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Ishaan R. Kale (Deemed University, Pale, India) Anand J. Kulkarni (MIT World Peace University, Pune, India)

Constraint Handling in Cohort Intelligence Algorithm

Ishaan R. Kale (Deemed University, Pale, India), Anand J. Kulkarni (MIT World Peace University, Pune, India)

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English

CRC Press
07 October 2024

Operational research; Electronics engineering; Games development & programming; Computer science; Artificial intelligence

Series: Advances in Metaheuristics

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.

By: Ishaan R. Kale (Deemed University Pale India), Anand J. Kulkarni (MIT World Peace University, Pune, India)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
ISBN: 9781032156576
ISBN 10: 1032156570
Series: Advances in Metaheuristics
Pages: 200
Publication Date: 07 October 2024
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Forthcoming

Ishaan R. Kale is a researcher for the Optimization and Agent Technology Research (OAT Research) Lab. Anand J. Kulkarni is an Associate Professor at the Institute of Artificial Intelligence, MIT World Peace University, India.