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Evolutionary Optimization Algorithms

By: Altaf Q. H. Badar (Author)

Manufacture on Demand

Ksh 11,400.00

Format: Paperback or Softback

ISBN-10: 1032073373

ISBN-13: 9781032073378

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 7th, 2024

Publication Status: Active

Product extent: 261 Pages

Weight: 420.00 grams

Product Classification / Subject(s): Mathematical foundations
Engineering: general
Mechanical engineering
Electrical engineering
Electronics engineering

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The text covers evolutionary optimizing algorithms with the help of MATLAB and Python programming in a comprehensive manner. It will be an ideal reference text for readers in diverse engineering fields including electrical, electronics and communication, computer science and mechanical engineering.

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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