Nature-Inspired Optimization Algorithms

Nonfiction, Computers, Advanced Computing, Theory, General Computing, Programming
Cover of the book Nature-Inspired Optimization Algorithms by Xin-She Yang, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Xin-She Yang ISBN: 9780124167452
Publisher: Elsevier Science Publication: February 17, 2014
Imprint: Elsevier Language: English
Author: Xin-She Yang
ISBN: 9780124167452
Publisher: Elsevier Science
Publication: February 17, 2014
Imprint: Elsevier
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Elsevier Science

Cover of the book Handbook of Advanced Radioactive Waste Conditioning Technologies by Xin-She Yang
Cover of the book G Protein-Coupled Receptors: Emerging Paradigms in Activation, Signaling and Regulation Part B by Xin-She Yang
Cover of the book Encapsulation Technologies for Electronic Applications by Xin-She Yang
Cover of the book Specifications of Photovoltaic Pumping Systems in Agriculture by Xin-She Yang
Cover of the book Congenital Adrenal Hyperplasia by Xin-She Yang
Cover of the book Sensory Evaluation Practices by Xin-She Yang
Cover of the book Leukocyte Membrane Determinants Regulating Immune Reactivity by Xin-She Yang
Cover of the book 19th European Symposium on Computer Aided Process Engineering by Xin-She Yang
Cover of the book Switchmode RF and Microwave Power Amplifiers by Xin-She Yang
Cover of the book Innovative Technologies for Food Preservation by Xin-She Yang
Cover of the book Advances in Molecular Toxicology by Xin-She Yang
Cover of the book Homoplasy by Xin-She Yang
Cover of the book The Germination of Seeds by Xin-She Yang
Cover of the book Handbook of Shock Waves, Three Volume Set by Xin-She Yang
Cover of the book Neuropathology of Drug Addictions and Substance Misuse Volume 3 by Xin-She Yang
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy