Titlebook: Bio-inspired Algorithms for the Vehicle Routing Problem; Francisco Babtista Pereira,Jorge Tavares Book 2009 Springer-Verlag Berlin Heidelb

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Bio-inspired Algorithms for the Vehicle Routing Problem978-3-540-85152-3Series ISSN 1860-949X Series E-ISSN 1860-9503

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Francisco Babtista Pereira,Jorge TavaresComprehensive review of the most relevant bio-inspired approaches to different Vehicle Routing Problem variants

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A Review of Bio-inspired Algorithms for Vehicle Routing,ndpoint, the review includes evolutionary algorithms, ant colony optimization, particle swarm optimization, neural networks, artificial immune systems and hybrids. From an application standpoint, the most popular vehicle routing variants are considered, starting with the classical vehicle routing problem with capacity constraints.

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Exploiting Fruitful Regions in Dynamic Routing Using Evolutionary Computation,We investigate under what conditions the exploration of fruitful regions improves upon the effectiveness of the evolutionary algorithm. A technique called anticipatory routing is used with the aim to increase the number of successfully transported loads with respect to time and capacity constraints.