Evolutionary Optimization Algorithms
Altaf Q. H. Badar, National Institute of Technology
CRC Press, Inc., 2022
ISBN: 9780367750541;
Language: English
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 MATLAB 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.
