Two new heuristics for the equal piles problem

dc.contributor.author Singh, Alok
dc.contributor.author Gupta, Ashok K.
dc.date.accessioned 2022-03-27T05:50:36Z
dc.date.available 2022-03-27T05:50:36Z
dc.date.issued 2005-12-01
dc.description.abstract Given n objects of various heights, the equal piles problem seeks an arrangement of these objects into k piles such that the heights of the resulting piles are as nearly equal as possible. In this paper we propose two new heuristics for this problem. One is a hybrid steady-state grouping genetic algorithm while the other is a perturbation based local search. Computational results demonstrate the effectiveness of our heuristics. Copyright © IICAI 2005.
dc.identifier.citation Proceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/8177
dc.title Two new heuristics for the equal piles problem
dc.type Conference Proceeding. Conference Paper
dspace.entity.type
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