Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/30447
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dc.contributor.authorDhanalakshmi, R-
dc.contributor.authorVadivel, A-
dc.contributor.authorChandrasekaran, R M-
dc.contributor.authorParthiban, P-
dc.date.accessioned2015-02-09T09:36:50Z-
dc.date.available2015-02-09T09:36:50Z-
dc.date.issued2015-02-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/30447-
dc.description77-81en_US
dc.description.abstractThis paper deals with the balanced allocation of customers to multiple distribution centers. Allocation problem generally deals with clustering of customers so as to achieve minimum total resource viz. cost or time. But the real challenge arises when it is required to strike a balance between the allocation while also minimizing the total cost or time. Since the problem develops to be NP-hard, the paper uses heuristic method to solve. This paper deals with the balanced allocation of customers to multiple distribution centers and also the paper challenges the requirement of Genetic algorithm against the usage of a relatively simple improvement heuristic developed based on the existing 2-opt heuristic. The balanced solution is achieved by using the min-max function. The two heuristics are compared using both existing and simulated data-sets.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJSIR Vol.74(02) [February 2015]en_US
dc.subjectBalanced allocationen_US
dc.subjectGenetic Algorithmen_US
dc.subject2-Opten_US
dc.subjectHeuristicen_US
dc.titleNature Inspired heuristic approach to balance the resource in the multiple distribution centersen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.74(02) [February 2015]

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