Evolutionary based heuristic for bin packing problem

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Bibliographic Details
Title: Evolutionary based heuristic for bin packing problem
Authors: Stawowy, Adam1 astawowy@zarz.agh.edu.pl
Source: Computers & Industrial Engineering. Sep2008, Vol. 55 Issue 2, p465-474. 10p.
Subjects: Mathematical optimization, Operations research, Algorithms, Industrial engineering
Abstract: Abstract: In this paper, we investigate the use of evolutionary based heuristic to the one-dimensional bin packing problem (BPP). Unlike other evolutionary heuristics used with optimization problems, a non-specialized and non-hybridized algorithm is proposed and analyzed for solving BPP. The algorithm uses a modified permutation with separators encoding scheme, unique concept of separators’ movements during mutation, and separators removal as a technique of problem size reduction. The set of experiments confirmed that the proposed approach is comparable to much more complicated algorithms. [Copyright &y& Elsevier]
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Database: Engineering Source
Description
Abstract:Abstract: In this paper, we investigate the use of evolutionary based heuristic to the one-dimensional bin packing problem (BPP). Unlike other evolutionary heuristics used with optimization problems, a non-specialized and non-hybridized algorithm is proposed and analyzed for solving BPP. The algorithm uses a modified permutation with separators encoding scheme, unique concept of separators’ movements during mutation, and separators removal as a technique of problem size reduction. The set of experiments confirmed that the proposed approach is comparable to much more complicated algorithms. [Copyright &y& Elsevier]
ISSN:03608352
DOI:10.1016/j.cie.2008.01.007