Computational Intelligence-based Optimization Algorithms: From Theory to Practice

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Babak Zolghadr-Asli

Computational Intelligence-based Optimization Algorithms

From Theory to Practice

Babak Zolghadr-Asli

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English

CRC Press
11 October 2023

Applied mathematics; Computing: general; Algorithms & data structures; Mathematical theory of computation

- Gives theoretical descriptions of each presented algorithm and algorithm codes in a way that is easy to follow

- Offers a robust literature review for each algorithm

- Useful for a range of readers that may need to understand and apply optimization

By: Babak Zolghadr-Asli
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 657g
ISBN: 9781032544151
ISBN 10: 1032544155
Pages: 338
Publication Date: 11 October 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.

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.