Nature Inspired Optimization Algorithms is popular PDF and ePub book, written by Xin-She Yang in 2014-02-17, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Nature Inspired Optimization Algorithms can be Read Online from any device for your convenience.
Nature Inspired Optimization Algorithms Book PDF Summary
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
Detail Book of Nature Inspired Optimization Algorithms PDF
- Author : Xin-She Yang
- Release : 17 February 2014
- Publisher : Elsevier
- ISBN : 9780124167452
- Genre : Computers
- Total Page : 277 pages
- Language : English
- PDF File Size : 20,8 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Nature Inspired Optimization Algorithms by Xin-She Yang, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.