Heuristic approach for balanced allocation problem in logistics: a comparative study Online publication date: Sun, 11-Jan-2015
by P. Sivakumar; K. Ganesh; S.P. Anbuudayasankar; M. Punniyamoorthy; S.C. Lenny Koh
International Journal of Operational Research (IJOR), Vol. 14, No. 3, 2012
Abstract: The core issue of this paper is efficient balancing of allocation of customers among multiple distribution centres. Allocation involves clustering of customers in such a way that the associated resources in terms of cost and time are minimal. Ready solution to this problem could be through non-deterministic polynomial (NP)-hard type model. But NP-hard type model is inherently time consuming in arriving at an optimal solution. This paper compares the meta-heuristic genetic algorithm with an improvised heuristic scheme developed from the 2-opt heuristic model. Possible solutions for efficient clustering of customers are then proposed.
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