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Adaptive memory search for multidemand multidimensional knapsack problems

delete2006-09-01
delete29
PRE
AI
H
Halvard Arntzen *
L
Lars Magnus Hvattum
A
Arne Løkketangen
DOI:10.1016/j.cor.2005.07.007delete
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摘要

En 中文
We describe a simple adaptive memory search method for the 0/1 Multidemand Multidimensional Knapsack Problem (0/1 MDMKP). The search balances the level of infeasibility against the quality of the solution, and uses a simple dynamic tabu search mechanism. A weighting scheme to balance out the differences in the tightness of the constraints is also implemented. Computational results on a portfolio of test problems taken from the literature are reported, showing very favorable results, both in terms of solution quality and the ability of the search to find feasible solutions. (c) 2005 Elsevier Ltd. All rights reserved.
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C
Computers and Operations Research
IF:
4.3
论文数:
6.5K
被引数:
1.8W

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