Titlebook: Evolutionary Constrained Optimization; Rituparna Datta,Kalyanmoy Deb Book 2015 Springer India 2015 Computational Intelligence.Constrained

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Kinetic

Evolutionary Constrained Optimization: A Hybrid Approach,nd multi-objective constrained optimization problems. Constrained optimization is a computationally difficult task, particularly if the constraint functions are nonlinear and nonconvex. As a generic classical approach, the penalty function approach is a popular methodology that degrades the objectiv

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2363-6149 ability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.978-81-322-3505-7978-81-322-2184-5Series ISSN 2363-6149 Series E-ISSN 2363-6157

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Trust Regions in Surrogate-Assisted Evolutionary Programming for Constrained Expensive Black-Box Opubject to surrogate inequality constraints with a small margin and with a distance requirement from previously evaluated points. The trust region is either expanded or reduced depending on whether the subproblem solution turned out to be feasible and whether the ratio of the actual improvement to th

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Ensemble of Constraint Handling Techniques for Single Objective Constrained Optimization,ctors, such as the ratio between feasible search space and the whole search space, multi-modality of the problem, the chosen EA and global exploration/local exploitation stages of the search process, different constraint handling methods can be effective on different problems and during different st

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