Evolutionary Computation in Combinatorial Optimization - 15th European Conference, EvoCOP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings (Paperback, 2015 ed.)

This book constitutes the refereed proceedings of the 15th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2015, held in Copenhagen, Denmark, in April 2015, co-located with the Evo*2015 events EuroGP, EvoMUSART and EvoApplications. The 19 revised full papers presented were carefully reviewed and selected from 46 submissions. The papers cover methodology, applications and theoretical studies. The methods included evolutionary and memetic (hybrid) algorithms, iterated local search, variable neighbourhood search, ant colony optimization, artificial immune systems, hyper-heuristics and other adaptive approaches. The applications include both traditional domains, such as graph coloring, knapsack, vehicle routing, job-shop scheduling, the p-median and the orienteering problems; and new(er) domains such as designing deep recurrent neural networks, detecting network community structure, lock scheduling of ships, cloud resource management, the fire-fighter problem and AI planning. The theoretical studies involved approximation ratio, runtime and black-box complexity analyses.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Theoretical Computer Science and General Issues, 9026
Release date:	March 2015
First published:	2015
Editors:	Gabriela Ochoa • Francisco Chicano
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	235
Edition:	2015 ed.
ISBN-13:	978-3-319-16467-0
Categories:	Books > Science & Mathematics > Mathematics > General Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
LSN:	3-319-16467-8
Barcode:	9783319164670

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