Yang, Xin-She creator author. text bibliography Electronic book. Electronic books. Electronic books. ne 2014 monographic eng

electronic resource

1 online resource. Nature-Inspired Optimization Algorithms provides a systematic 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 well-chosen 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, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature. Provides a theoretical understanding as well as practical implementation hints. Provides a step-by-step introduction to each algorithm. 1. Introduction to algorithms -- 2. Analysis of algorithms -- 3. Random walks and optimization -- 4. Simulated annealing -- 5. Genetic algorithms -- 6. Differential evolution -- 7. Particle swarm optimization -- 8. Firefly algorithms -- 9. Cuckoo search -- 10. Bat algorithms -- Flower pollination algorithms -- 12. A framework for self-tuning algorithms -- 13. How to deal with constraints -- 14. Multi-objective optimization -- 15. Other algorithms and hybrid algorithms -- Appendices. by Xin-She Yang. Includes bibliographical references. Mathematical optimization Algorithms Algorithms Mathematical optimization Optimierung Algorithmus Bionik Evolution�arer Algorithmus Schwarmintelligenz Algorithms QA402.5 519.6 Online Book Yang, Xin-She. Burlington : Elsevier Science, �2014 9780124167452 0124167454 0124167438 9780124167438 2014931594 http://www.sciencedirect.com/science/book/9780124167438 http://www.sciencedirect.com/science/book/9780124167438 UKMGB 131115 20190328114807.0 ocn866583452 eng