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Can I read Advances in Bio-inspired Computing for Combinatorial Optimization Problems (Intelligent Systems Reference Library, 57) on EtoBox?
Advances in Bio-inspired Computing for Combinatorial Optimization Problems (Intelligent Systems Reference Library, 57) by Camelia-Mihaela Pintea (auth.) is a computer science book available to read on EtoBox.
What is Advances in Bio-inspired Computing for Combinatorial Optimization Problems (Intelligent Systems Reference Library, 57) about?
"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 b
Who reads Advances in Bio-inspired Computing for Combinatorial Optimization Problems (Intelligent Systems Reference Library, 57)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Camelia-Mihaela Pintea (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 2014
- Language
- EN
- ISBN
- 9783642401794
- Category
- computer science
- Subjects
- Engineering, Business, Science
- Updated
- 2026-03-25
Other editions & translations
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