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Bozorg-Haddad

Advanced Optimization by Nature-Inspired Algorithms

Medium: Buch
ISBN: 978-981-10-5220-0
Verlag: Springer Nature Singapore
Erscheinungstermin: 11.07.2017
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9789811052200
  • Medium: Buch
  • ISBN: 978-981-10-5220-0
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 11.07.2017
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2018
  • Serie: Studies in Computational Intelligence
  • Produktform: Gebunden
  • Gewicht: 3908 g
  • Seiten: 159
  • Format (B x H x T): 160 x 241 x 16 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Introduction.- Cat Swarm Optimization (CSO) Algorithm.- League Championship Algorithm (LCA).- Anarchic Society Optimization (ASO) Algorithm.- Cuckoo Optimization Algorithm (COA).- Teaching-Learning-Based Optimization (TLBO) Algorithm.- Flower pollination Algorithm (FPA).- Krill Herd Algorithm (KHA).- Grey Wolf Optimization (GWO) Algorithm.- Shark Smell Optimization (SSO) Algorithm.- Ant Lion Optimizer (ALO) Algorithm.- Gradient Evolution (GE) Algorithm.- Moth-Flame Optimization (MFO) Algorithm.- Crow Search Algorithm (CSA).- Dragonfly Algorithm (DA).