Nature-Inspired Algorithms; For Engineers and Scientists Krishn Kumar Mishra by Krishn Kumar Mishra 9781003313649, 1003313647 instant download after payment.

This comprehensive reference text discusses nature-inspired algorithms and their applications. It presents the methodology to write new algorithms with the help of MATLAB® programs and instructions for a better understanding of concepts. It covers well-known algorithms including evolutionary algorithms; genetic algorithms; particle swarm optimization; differential evolution; and recent approaches; including grey wolf optimization. A separate chapter discusses test case generation using techniques such as particle swarm optimization; genetic algorithms; and differential evolution algorithms.
The book
• discusses in detail various nature-inspired algorithms and their applications;
• provides MATLAB programs for the corresponding algorithm;
• presents a methodology to write new algorithms;
• examines well-known algorithms like the genetic algorithm; particle swarm optimization and differential evolution; and recent approaches like grey wolf optimization;
• provides conceptual linking of algorithms with theoretical concepts.
The text will be useful for graduate students in the field of electrical engineering, electronics engineering, computer science and engineering.
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 engineering, electronics engineering, computer science and engineering. It discusses important algorithms including deterministic algorithms, randomized algorithms, evolutionary algorithms, particle swarm optimization, Big Bang–Big Crunch algorithm, genetic algorithm, and grey wolf optimization algorithm.