Comprehensive Metaheuristics: Algorithms and Applications

Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains. The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics. Each algorithm is thoroughly analyzed to observe its behavior, providing a detailed tutorial on how to solve problems using metaheuristics. New case studies and research problem statements are also discussed, which will help researchers in their application of the concepts. Presented by world-renowned researchers and practitioners in metaheuristics Includes techniques, algorithms, and applications based on real-world case studies Presents the methodology for formulating optimization problems for metaheuristics Provides readers with methods for analyzing and tuning the performance of a metaheuristic, as well as for integrating metaheuristics in other AI techniques Features online complementary source code from the applications and algorithms INDICE: Part 1: Algorithms 1. Introduction to meta-heuristics 2. Multi-objective optimization using meta-heuristics 3. Constrained optimization using meta-heuristics 4. Problem formulation for meta-heuristics 5. Genetic algorithm 6. Particle Swarm Optimization 7. Krill Herd algorithm 8. Cuckoo Search Algorithm 9. Bat Algorithm10. Grey Wolf Optimizer 11. Salp Swarm Optimizer 12. Dragonfly Algorithm 13. Grasshopper Optimization Algorithm 14. Whale Optimization Algorithm 15. Equilibrium Optimizer 16. Marine Predator Algorithm 17. Arithmetic Optimization Algorithm 18. Differential EvolutionPart 2: Applications 19. Computational Fluid Dynamics optimization using meta-heuristics20. Wave farm optimization using meta-heuristics 21. 5G network optimization and meta-heuristics 22. IoT and meta-heuristics 23. Stochastic Machine Learning using meta-heuristics 24. Feature selection using meta-heuristics 25. Optical devices design using meta-heuristics 26. Robot path planning using meta-heuristics 27. Truss and bridge optimization using meta-heuristics 28. Image and signal processing using meta-heuristics

• ISBN: 978-0-323-91781-0
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 500
• Fecha Publicación: 01/01/2023
• Nº Volúmenes: 1
• Idioma: Inglés