Description: Nature-Inspired Optimization Algorithms A theoretical and practical introduction to all major nature-inspired algorithms for optimization Xin-She Yang (Author) 9780128219867 Paperback / softback, published 14 September 2020 310 pages 23.5 x 19 x 2 cm, 0.57 kg Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, and multi-objective optimization. This book can serve as an introductory book for graduates, for lecturers in computer science, engineering and natural sciences, and as a source of inspiration for new applications. 1. Introduction to Algorithms 2. Mathematical Foundations3. Analysis of Algorithms4. Random Walks and Optimization5. Simulated Annealing6. Genetic Algorithms7. Differential Evolution8. Particle Swarm Optimization9. Firefly Algorithms10. Cuckoo Search11. Bat Algorithms12. Flower Pollination Algorithms13. A Framework for Self-Tuning Algorithms14. How to Deal With Constraints15. Multi-Objective Optimization16. Data Mining and Deep LearningAppendix A Test Function Benchmarks for Global OptimizationAppendix B Matlab® Programs Subject Areas: Biomedical engineering [MQW]
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BIC Subject Area 1: Biomedical engineering [MQW]
Number of Pages: 310 Pages
Language: English
Publication Name: Nature-Inspired Optimization Algorithms
Publisher: Elsevier Science Publishing Co INC International Concepts
Publication Year: 2020
Subject: Engineering & Technology
Item Height: 229 mm
Item Weight: 570 g
Type: Textbook
Author: Xin-She Yang
Subject Area: Bioengineering
Item Width: 152 mm
Format: Paperback
