Title
Solving The 0-1 Multidimensional Knapsack Problem
Keywords
0-1 multidimensional Knapsack problem; Combinatorial optimization; Meta-heuristics
Abstract
This paper presents a meta-heuristic solution approach, Meta-RaPS, to 0-1 Multidimensional Knapsack Problem (0-1 MKP). Meta-RaPS (Meta-heuristic for Randomized Priority Search) constructs a feasible solution at each iteration through priority rules used in a randomized fashion to avoid local optimum. After the construction phase, Meta-RaPS improves the solution using a local search technique. The Meta-RaPS 0-1 MKP approach developed herein is tested using a well-known test set of 0-1 MKP problems from the OR-Library. The Meta-RaPS 0-1 MKP results are competitive with the literature findings in terms of time and solution quality.
Publication Date
12-1-2006
Publication Title
2006 IIE Annual Conference and Exhibition
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
36448970154 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/36448970154
STARS Citation
Hepdogan, Seyhun; Moraga, Reinaldo; DePuy, Gail W.; and Whitehouse, Gary E., "Solving The 0-1 Multidimensional Knapsack Problem" (2006). Scopus Export 2000s. 7673.
https://stars.library.ucf.edu/scopus2000/7673