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.

Product details
ASIN ‏ : ‎ B09D5QZYW6
Publisher ‏ : ‎ CRC Press; 1st edition (October 30, 2021)
Publication date ‏ : ‎ October 30, 2021
Language ‏ : ‎ English
File size ‏ : ‎ 9724 KB
Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
Text-to-Speech ‏ : ‎ Enabled
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Lending ‏ : ‎ Not Enabled