Titlebook: Variable Neighborhood Search; 6th International Co Angelo Sifaleras,Said Salhi,Jack Brimberg Conference proceedings 2019 Springer Nature Sw

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Detecting Weak Points in Networks Using Variable Neighborhood Search,onnect the network in subnetworks of size smaller than a given threshold. A Variable Neighborhood Search algorithm is proposed for finding the minimum . separator in different network topologies, comparing the obtained results with the best algorithm found in the state of the art.

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An Evolutionary Variable Neighborhood Descent for Addressing an Electric VRP Variant,hat aims to overcome recharging battery constraints while maintaining a certain performance regarding to the fleet cost and the traveled distance. An experimental study on benchmark instances is provided to show the relevance of the proposed algorithm.

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FEAS

Improved Variable Neighbourhood Search Heuristic for Quartet Clustering, of possible combinations of quartet topologies on ., where optimality means that the sum of the dissimilarities of the embedded (or consistent) quartet topologies is minimal. This corresponds to an NP-hard combinatorial optimization problem, also referred to as minimum quartet tree cost (MQTC) prob

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