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

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EVITA: An Integral Evolutionary Methodology for the Inventory and Transportation Problem,in the transport costs associated to a particular set of patterns..Here we compare four different algorithms that have been employed in the literature for solving the VRP and show how the choice of the lower level algorithm (the .) can play a significant part in the performance of the whole algorithm.

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,A GRASP × Evolutionary Local Search Hybrid for the Vehicle Routing Problem,et, if only one run with the same parameters is allowed, it outperforms all recent heuristics except the AGES algorithm of Mester and Br?ysy (2007). Only AGES and the SEPAS method of Tarantilis (2005) do better on the second set, but GRASP×ELS improves two best-known solutions. Our algorithm is also faster than most VRP metaheuristics.

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When the Rubber Meets the Road: Bio-inspired Field Service Scheduling in the Real World,lony Optimization (ACO), and a hybrid of ACO with GRASP (Greedy Randomized Adaptive Search Procedure). We conclude by discussing generation of ”human-friendly” solutions, through introduction of local considerations into the global optimization process.

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