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02082nam a22003615i 4500 |
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100301s2009 gw | s |||| 0|eng d |
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|a 9783540851523
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024 |
7 |
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|a 10.1007/978-3-540-85152-3
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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|a Bio-inspired Algorithms for the Vehicle Routing Problem /
|c edited by Francisco Baptista Pereira, Jorge Tavares.
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|a 1st ed. 2009.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2009.
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|a XVI, 216 p. 57 illus. :
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Studies in Computational Intelligence,
|v 161
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|a A Review of Bio-inspired Algorithms for Vehicle Routing -- A GRASP × Evolutionary Local Search Hybrid for the Vehicle Routing Problem -- An Evolutionary Algorithm for the Open Vehicle Routing Problem with Time Windows -- Using Genetic Algorithms for Multi-depot Vehicle Routing -- Hybridizing Problem-Specific Operators with Meta-heuristics for Solving the Multi-objective Vehicle Routing Problem with Stochastic Demand -- Exploiting Fruitful Regions in Dynamic Routing Using Evolutionary Computation -- EVITA: An Integral Evolutionary Methodology for the Inventory and Transportation Problem -- A Memetic Algorithm for a Pick-Up and Delivery Problem by Helicopter -- When the Rubber Meets the Road: Bio-inspired Field Service Scheduling in the Real World.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Software engineering.
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|a Operations research.
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|a Decision making.
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|a Mathematical and Computational Engineering.
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|a Software Engineering.
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|a Operations Research/Decision Theory.
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|a Pereira, Francisco Baptista.
|e editor.
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|a Tavares, Jorge.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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