Nature-Inspired Algorithms For Engineers and Scientists

It presents the methodology to write new algorithms with the help of MATLAB programs and instructions for better understanding of concepts. It covers well-known algorithms including evolutionary algorithms, genetic algorithm, particle Swarm optimization and differential evolution, and recent approached including gray wolf optimization. A separate chapter discusses test case generation using techniques such as particle swarm optimization, genetic algorithm, and differential evolution algorithm.
The book-

Discusses in detail various nature inspired algorithms and their applications
Provides MATLAB programs for the corresponding algorithm
Presents methodology to write new algorithms
Examines well-known algorithms like the genetic algorithm, particle swarm optimization and differential evolution, and recent approaches like gray wolf optimization.
Provides conceptual linking of algorithms with theoretical concepts
The text will be useful for graduate students in the field of electrical eeering, electronics eeering, computer science and eeering.

Discussing nature inspired algorithms and their applications in a single volume, this text will be useful as a reference text for graduate students in the field of electrical eeering, electronics eeering, computer science and eeering. It discusses important algorithms including deteistic algorithms, randomized algorithms, evolutionary algorithms, particle swarm optimization, big bang big crunch (BB-BC) algorithm, genetic algorithm and grey wolf optimization algorithm. "



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