2009
HMS 2009 Proceeding
Multi-objective genetic local search algorithm for supply chain simulation optimisation
Authors: Galina Merkuryeva, Liana Napalkova
Abstract
This paper presents a hybrid simulation optimisation algorithm that integrates a multi-objective genetic algorithm and response surface-based metamodelling techniques. The optimisation problem involves a search in a high dimensional space with different ranges for decision variable scales, multiple stochastic objective functions and problem specific constraints. A case study demonstrates the application of a hybrid simulation optimisation algorithm to optimal cyclic planning for a generic supply chain network.
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