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题名/责任者:

Evolutionary optimization algorithms / Alaf Q.H. Badar.

出版发行项:

Boca Raton, FL : CRC Press, 2022.

ISBN:

9781032073378

ISBN:

9780367750541

载体形态项:

xii, 261 pages : illustrations ; 24 cm

个人责任者:

Badar, Altaf Q. H., author.

论题主题:

Genetic algorithms.

论题主题:

Artificial intelligence.

中图法分类号:

TP301.6

书目附注:

Includes bibliographical references and index.

摘要附注:

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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