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Constraint Handling in Cohort Intelligence Algorithm (Advances in Metaheuristics) free ebook download

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Algorithms

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Author(s):	Ishaan R. Kale

Date:	2021	Format:	pdf	Language:	English	ISBN/ASIN:	1032150750
Pages:	320	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	12/3/2021 2:21:58 PM

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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.
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Tags: Advances Algorithm Cohort Constraint Handling Intelligence Metaheuristics

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Constraint Handling in Cohort Intelligence Algorithm (Advances in Metaheuristics) free ebook download

Category: Algorithms

Description: Click to see full description

Category:
Algorithms