Description: This comprehensive reference text discusses evolutionary optimization techniques, to find optimal solutions for single and multi-objective problems. The text presents each evolutionary optimization algorithm along with its history and other working equations. It also discusses variants and hybrids of optimization techniques. The text presents step-by-step solution to a problem and includes software's like MATLAB and Python for solving optimization problems. It covers important optimization algorithms including single objective optimization, multi objective optimization, Heuristic optimization techniques, shuffled frog leaping algorithm, bacteria foraging algorithm and firefly algorithm. Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, mechanical engineering, and computer science and engineering, this text: Provides step-by-step solution for each evolutionary optimization algorithm. Provides flowcharts and graphics for better understanding of optimization techniques. Discusses popular optimization techniques include particle swarm optimization and genetic algorithm. Presents every optimization technique along with the history and working equations. Includes latest software like Python and MATLAB.
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EAN: 9780367750541
UPC: 9780367750541
ISBN: 9780367750541
MPN: N/A
Book Title: Evolutionary Optimization Algorithms by Altaf Q. H
Item Length: 23.4 cm
Item Height: 234 mm
Item Width: 156 mm
Author: Altaf Q. H. Badar
Publication Name: Evolutionary Optimization Algorithms
Format: Hardcover
Language: English
Publisher: Taylor & Francis Ltd
Subject: Computer Science
Publication Year: 2021
Type: Textbook
Item Weight: 667 g
Number of Pages: 261 Pages
