Advanced Optimization by Nature-Inspired Algorithms Advanced Optimization by Nature-Inspired Algorithms

Advanced Optimization by Nature-Inspired Algorithms

Revised Selected Papers of the 10th Annual Meeting of the Bulgarian Section of SIAM December 21-22, 2015, Sofia, Bulgaria

    • 74,99 €
    • 74,99 €

Publisher Description

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 addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

GENRE
Computing & Internet
RELEASED
2017
30 June
LANGUAGE
EN
English
LENGTH
174
Pages
PUBLISHER
Springer Nature Singapore
SIZE
2.7
MB

More Books by Omid Bozorg-Haddad

Computational Intelligence for Water and Environmental Sciences Computational Intelligence for Water and Environmental Sciences
2022
Climate Change in Sustainable Water Resources Management Climate Change in Sustainable Water Resources Management
2022
Essential Tools for Water Resources Analysis, Planning, and Management Essential Tools for Water Resources Analysis, Planning, and Management
2021
Economical, Political, and Social Issues in Water Resources Economical, Political, and Social Issues in Water Resources
2021
Meta-heuristic and Evolutionary Algorithms for Engineering Optimization Meta-heuristic and Evolutionary Algorithms for Engineering Optimization
2017