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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems (Paperback, Softcover reprint of the original 1st ed. 2014)
Loot Price: R2,826
Discovery Miles 28 260
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems (Paperback, Softcover reprint of the original 1st ed. 2014)
Series: Intelligent Systems Reference Library, 57
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"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.
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