Advances in Bio inspired Computing for Combinatorial Optimization Problems is popular PDF and ePub book, written by Camelia-Mihaela Pintea in 2013-08-13, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Advances in Bio inspired Computing for Combinatorial Optimization Problems can be Read Online from any device for your convenience.
Advances in Bio inspired Computing for Combinatorial Optimization Problems Book PDF Summary
"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and their results are discussed. Some of the main concepts and models described in this book are: inner rule to guide ant search - a recent model in ant optimization, heterogeneous sensitive ants; virtual sensitive robots; ant-based techniques for static and dynamic routing problems; stigmergic collaborative agents and learning sensitive agents. This monograph is useful for researchers, students and all people interested in the recent natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming. The book should furthermore allow readers to acquire ideas, concepts and models to use and develop new software for solving complex real-life problems.
Detail Book of Advances in Bio inspired Computing for Combinatorial Optimization Problems PDF
- Author : Camelia-Mihaela Pintea
- Release : 13 August 2013
- Publisher : Springer Science & Business Media
- ISBN : 9783642401794
- Genre : Technology & Engineering
- Total Page : 189 pages
- Language : English
- PDF File Size : 13,5 Mb
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