1st Edition

Nature-Inspired Algorithms For Engineers and Scientists

By Krishn Kumar Mishra Copyright 2023
326 Pages 39 B/W Illustrations
by CRC Press

326 Pages 39 B/W Illustrations
by CRC Press

326 Pages 39 B/W Illustrations
by CRC Press

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 better understanding of concepts. It covers well-known algorithms including evolutionary algorithms, genetic algorithm, particle Swarm optimization and differential evolution, and recent approached... Read more

Preface

Acknowledgments

About the Author

1. Introduction

2. Binary Genetic Algorithms

3. Real-Parameter Genetic Algorithm

4. Differential Evolution

5. Particle Swarm Optimization

6. Grey Wolf Optimization

7. Environmental Adaptation Method

8. Other Important Optimization Algorithms

9. Application of Genetic Algorithms, Partial Swarm Optimization, and Differential Evolution in Software Testing

10. Application of Genetic Algorithms, Partial Swarm Optimization, and Differential Evolution in Regression Testing

11. Application of Genetic Algorithms and Partial Swarm Optimization in Cloud Computing

References and Further Reading

Index

Biography

K. K. Mishra is presently working as an assistant professor, department of computer science and engineering, Motilal Nehru National Institute of Technology Allahabad, India. His research areas include genetic algorithm, analysis of algorithm, automata theory, microprocessor and multi-objective optimization. He has taught courses including computer architecture, data structures, advanced computer architecture, programming in C++, microprocessor and automata theory at undergraduate and graduate level. He is a regular reviewer of the Journal of Supercomputing (Springer), Applied Intelligence, Applied Soft Computing, IEEE Transaction on Cybernetics, IEEE System Journal, Neural computing and application, and IETE journals.