Computational Intelligence-based Optimization Algorithms

ISBN-13: 9781032544151 / Miękka / 2023 / 338 str.

and University of Queenslan UK Babak (University of Exeter

Opis

In this book, we have selected some of the most effective and renowned algorithms in the literature. Each chapter includes a brief review of the algorithm’s background and the fields it has been used in.

Spis treści

1. An Introduction to Meta-Heuristic Optimization. 2. Pattern Search Algorithm. 3. Genetic Algorithm. 4. Simulated Annealing Algorithm. 5. Tabu Search Algorithm. 6. Ant Colony Optimization Algorithm. 7. Particle Swarm Optimization Algorithm. 8. Differential Evolution Algorithm. 9. Harmony Search Algorithm. 10. Shuffled Frog-Leaping Algorithm. 11. Invasive Weed Optimization Algorithm. 12. Biogeography-Based Optimization Algorithm. 13. Cuckoo Search Algorithm. 14. Firefly Algorithm. 15. Gravitational Search Algorithm. 16. Plant Propagation Algorithm. 17. Teaching-Learning-Based Optimization Algorithm. 18. Bat Algorithm. 19. Flower Pollination Algorithm. 20. Water Cycle Algorithm. 21. Symbiotic Organisms Search Algorithm.

O autorze

Babak Zolghadr-Asli is currently a joint researcher under the QUEX program, working at the Sustainable Minerals Institute at The University of Queensland in Australia and The Centre for Water Systems at The University of Exeter in the UK. His primary research interest is to incorporate computational and artificial intelligence to understand the sustainable management of water resources.