Author: Xin-She Yang
Edition: 1
Binding: Hardcover
ISBN: 0470582464
Publisher: Wiley
Features:
Edition: 1
Binding: Hardcover
ISBN: 0470582464
Publisher: Wiley
Features:
Engineering Optimization: An Introduction with Metaheuristic Applications
An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciencesFrom engineering and computer science to economics and management science, optimization is a core component for problem solving. Search and download computer ebooks Engineering Optimization: An Introduction with Metaheuristic Applications for free.
Categories: Mathematical optimization, Engineering->Mathematical models. Contributors: Singiresu S. Rao - Author. Format: Hardcover. Download Engineering Optimization computer ebooks
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 algor
Engineering Optimization: Theory and Practice
Categories: Mathematical optimization, Engineering->Mathematical models. Contributors: Singiresu S. Rao - Author. Format: Hardcover
Categories: Mathematical optimization, Engineering->Mathematical models. Contributors: A. Ravindran - Author. Format: Hardcover
Categories: Mathematical optimization, Engineering->Mathematical models, Mathematical optimizatio. Contributors: Singiresu S. Rao - Author. Format: Hardcover
Categories: Engineering->Mathematical models, Mathematical optimization. Contributors: GV Reklaitis - Author. Format: Hardcover
Engineering Optimization Free
With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algor
