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KrishnKumar Mishra

Nature-Inspired Algorithms: For Engineers and Scientists

Nature-Inspired Algorithms: For Engineers and Scientists

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  • More about Nature-Inspired Algorithms: For Engineers and Scientists


This comprehensive reference text discusses nature-inspired algorithms and their applications, providing MATLAB programs and instructions for better understanding. It covers well-known algorithms like evolutionary algorithms, genetic algorithms, particle swarm optimization, and differential evolution, and discusses test case generation using techniques like particle swarm optimization, genetic algorithm, and differential evolution algorithm. The book is useful for graduate students in the field of electrical engineering, electronics engineering, computer science and engineering.

Format: Hardback
Length: 310 pages
Publication date: 17 October 2022
Publisher: Taylor & Francis Ltd



The book provides MATLAB programs for each algorithm,making it easier for readers to understand and implement them. It also includes a methodology to write new algorithms,which will be helpful for researchers and practitioners in the field.

The text covers well-known algorithms like the genetic algorithm,particle swarm optimization and differential evolution,as well as recent approaches like gray wolf optimization. It also discusses test case generation using techniques such as particle swarm optimization,genetic algorithm and differential evolution algorithm.

The book is organized into five chapters,each covering a different aspect of nature inspired algorithms and their applications. The first chapter provides an introduction to the topic,while the second chapter discusses the methodology to write new algorithms. The third chapter examines well-known algorithms like the genetic algorithm,particle swarm optimization and differential evolution. The fourth chapter discusses recent approaches like gray wolf optimization. The fifth chapter discusses test case generation using techniques such as particle swarm optimization,genetic algorithm and differential evolution algorithm.

Overall,this text is a valuable resource for graduate students in the field of electrical engineering,electronics engineering,computer science and engineering. It provides a comprehensive overview of nature inspired algorithms and their applications,and includes MATLAB programs for each algorithm,making it easier for readers to understand and implement them.

Weight: 760g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367750497

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