Discrete Problems in Nature Inspired Algorithms [Hardcover]

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion of the modified version for discrete algorithms including problems pertaining to discussed algorithms.

1. Introduction to Optimization Problems 2. Particle Swarm Optimization 3. Genetic Algorithms 4. Ant Colony Optimization 5. Bat Algorithm 6. Cuckoo Search Algorithm 7. Artificial Bee Colony 8. Shuffled Frog Leap Algorithm 9. Brain Storm Swarm Optimization Algorithm 10. Intelligent Water Drop Algorithm 11. Egyptian Vulture Algorithm 12. Biogeography-Based Optimization 13. Invasive Weed Optimization 14. Glowworm Swarm Optimization 15. Bacteria Foraging Optimization Algorithm 16. Flower Pollination Algorithm

This book introduces algorithms for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion of the modified version for discrete algorithms including problems pertaining to discussed algorithms.

Anupam Shukla is currently a professor with ABV-Indian Institute of Information Technology and Management and has a total of 25 years of experience in both teaching and research. He received the Young Scientist Award from the Madhya Pradesh Council of Science & Technology, Bhopal in 1995 and the Gold Medal from Jadavpur University, Kolkata in 1998 for his postgraduate studies. Professor Shukla's main research area is Artificial Intelligence, and he is currently focusing on Neural Networks and Evolutionary and Nature Inspired Computations that have incalculable applications in Bioinformatics, Medical Expert System, and Robotics. He has supervised 8 PhD l#