Evolutionary Optimization Algorithms

Altaf Q. H. Badar

ISBN 10: 1032073373 / ISBN 13: 9781032073378

Published by CRC Press, 2024

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9781032073378

Bibliographic Details

• Title: Evolutionary Optimization Algorithms
• Publisher: CRC Press
• Publication Date: 2024
• Language: English
• ISBN 10: 1032073373
• ISBN 13: 9781032073378
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 15D millimeters 234 millimeters width by 156 millimeters height by 15 millimeters depth
• Weight: 421 grams

About this title

Synopsis

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.

About the Author

Altaf Q. H. Badar is currently working as an assistant professor, department of electrical engineering, National Institute of Technology, Warangal. His research areas include artificial intelligence applications to power systems, evolutionary optimization techniques, and smart home energy management systems. He has taught courses including electric and magnetic fields, and real-time control of power systems. He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and Indian Society for Technical Education (ISTE).