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Engineering Optimization (An Introduction with Metaheuristic Applications) by Yang, Xin-She is a scholarly article available to read on EtoBox.

What is Engineering Optimization (An Introduction with Metaheuristic Applications) about?

An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number g

Author

Yang, Xin-She

Publisher

John Wiley & Sons, Incorporated

Published

2010

Language

EN

ISBN

9780470640425