Beam-ACO for Simple Assembly Line Balancing

被引:54
作者
Blum, Christian [1 ]
机构
[1] Univ Politecn Cataluna, ALBCOM Res Grp, Dept Llenguatges & Sistemes Informat, ES-08034 Barcelona, Spain
关键词
computer science; artificial intelligence; production scheduling; planning; analysis of algorithms; suboptimal algorithms;
D O I
10.1287/ijoc.1080.0271
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Assembly line balancing problems are concerned with the optimization of manufacturing processes. In this paper we consider the so-called simple assembly line balancing problem with the objective of minimizing the number of used workstations. This problem is denoted by SALB-1 in the literature. For tackling this problem, we present a so-called Beam-ACO approach. This technique results from hybridizing the metaheuristic ant colony optimization with beam search. The experimental results show that our algorithm is a state-of-the-art method for this problem. It can solve 263 of 269 existing benchmark instances to optimality.
引用
收藏
页码:618 / 627
页数:10
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