Advanced Optimization by Nature-Inspired Algorithms

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bozorg-Haddad, Omid (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Studies in Computational Intelligence, 720
• Subjects: Computational intelligence.; Mathematical optimization.; Artificial intelligence.; Operations research.; Decision making.; Mechanics.; Mechanics, Applied.; Optical data processing.; Computational Intelligence.; Optimization.; Artificial Intelligence.; Operations Research/Decision Theory.; Theoretical and Applied Mechanics.; Computer Imaging, Vision, Pattern Recognition and Graphics.

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In a...