Evolutionary Computation in Combinatorial Optimization [electronic resource] : 14th European Conference, EvoCOP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers / edited by Christian Blum, Gabriela Ochoa.
Contributor(s): Blum, Christian [editor.]
| Ochoa, Gabriela [editor.] | SpringerLink (Online service).
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BookSeries: Theoretical Computer Science and General Issues: 8600Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Edition: 1st ed. 2014.Description: XII, 241 p. 62 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662443200.Subject(s): Numerical analysis | Algorithms | Computer science -- Mathematics | Discrete mathematics | Computer science | Numerical Analysis | Algorithms | Discrete Mathematics in Computer Science | Theory of ComputationAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 518 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 14th European Conference on Evolutionary Computation in Combinatorial Optimization, Evo COP 2014, held in Granada, Spain, in April 2014, co-located with the Evo*2014 events Euro GP, Evo BIO, Evo MUSART and Evo Applications. The 20 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers cover the following topics: swarm intelligence algorithms, fitness landscapes and adaptive algorithms, real world and routing problems and cooperative and metaheuristic search.
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This book constitutes the refereed proceedings of the 14th European Conference on Evolutionary Computation in Combinatorial Optimization, Evo COP 2014, held in Granada, Spain, in April 2014, co-located with the Evo*2014 events Euro GP, Evo BIO, Evo MUSART and Evo Applications. The 20 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers cover the following topics: swarm intelligence algorithms, fitness landscapes and adaptive algorithms, real world and routing problems and cooperative and metaheuristic search.
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