DocumentCode
239411
Title
A Lagrangian and surrogate information enhanced tabu search for the MMKP
Author
Htiouech, Skander ; Bouamama, Sadok
Author_Institution
Nat. Eng. Sch. of Tunis, Sys-com, Tunis, Tunisia
fYear
2014
fDate
6-11 July 2014
Firstpage
1461
Lastpage
1468
Abstract
The multidimensional multi-choice knapsack problem (MMKP) is NP-hard. Within the framework of solving this problem, we suggest newer approaches. We not only propose a multi-starts version of our previous works approach using surrogate constraint informations based choices [31][32], but also we introduce another newer heuristic. The latter uses Lagrangian relaxation informations in place of surrogate informations. Compared with other literature known methods described so far, our approaches experimentations results are competitive.
Keywords
computational complexity; knapsack problems; search problems; Lagrangian information enhanced tabu search; Lagrangian relaxation informations; MMKP; NP-hard; multidimensional multichoice knapsack problem; surrogate constraint information based choices; surrogate information enhanced tabu search; Dynamic programming; Heuristic algorithms; Linear programming; Oscillators; Partitioning algorithms; Upper bound; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6626-4
Type
conf
DOI
10.1109/CEC.2014.6900649
Filename
6900649
Link To Document