A Variable Neighborhood Descent for solving the Single Machine Total Weighted Tardiness Problem - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2013

A Variable Neighborhood Descent for solving the Single Machine Total Weighted Tardiness Problem

Résumé

A Variable Neighborhood Descent (VND) approach is developed to solve the Single Machine Total Weighted Tardiness Problem (SMTWTP). New strategies are proposed to select iteratively the accurate neighborhood. Our approach was compared to standard VND variants through several experiments assessing the performance of our approach. In particular, we show that improvement can be obtained on many SMTWTP instances.
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Dates et versions

hal-00808361 , version 1 (05-04-2013)

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  • HAL Id : hal-00808361 , version 1

Citer

Hiba Yahyaoui, Saoussen Krichen, Bilel Derbel, El-Ghazali Talbi. A Variable Neighborhood Descent for solving the Single Machine Total Weighted Tardiness Problem. THE 5th INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED OPTIMIZATION (ICMSAO), Apr 2013, Hammamet, Tunisia. ⟨hal-00808361⟩
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