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
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;
Conference_Titel :
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6626-4
DOI :
10.1109/CEC.2014.6900649