eBook - ePub

Multi-Objective Optimization in Theory and Practice II: Metaheuristic Algorithms

Name: Multi-Objective Optimization in Theory and Practice II: Metaheuristic Algorithms
ISBN: 9781681087054

André A. Keller,

English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Multi-Objective Optimization in Theory and Practice II: Metaheuristic Algorithms

André A. Keller,

About this book

Multi-Objective Optimization in Theory and Practice is a simplified two-part approach to multi-objective optimization (MOO) problems. This second part focuses on the use of metaheuristic algorithms in more challenging practical cases. The book includes ten chapters that cover several advanced MOO techniques. These include the determination of Pareto-optimal sets of solutions, metaheuristic algorithms, genetic search algorithms and evolution strategies, decomposition algorithms, hybridization of different metaheuristics, and many-objective (more than three objectives) optimization and parallel computation. The final section of the book presents information about the design and types of fifty test problems for which the Pareto-optimal front is approximated. For each of them, the package NSGA-II is used to approximate the Pareto-optimal front. It is an essential handbook for students and teachers involved in advanced optimization courses in engineering, information science and mathematics degree programs.

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Yes, you can access Multi-Objective Optimization in Theory and Practice II: Metaheuristic Algorithms by André A. Keller in PDF and/or ePUB format, as well as other popular books in Mathematics & Optimization. We have over one million books available in our catalogue for you to explore.