1st Edition
Nature-Inspired Algorithms For Engineers and Scientists
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.






