2006
DOI: 10.1016/j.cor.2004.08.008
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Hybrid ant systems for the dynamic facility layout problem

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Cited by 124 publications
(44 citation statements)
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“…Then, the optimal medians in graph are selected through the sum of distance of nodes to optimum medians. Recently, metaheuristics algorithms such as Genetic algorithms [15,16], bionomic approaches [17] and ant colony [18,19] are developed in order to obtain solutions for k-median problem.…”
Section: Introductionmentioning
confidence: 99%
“…Then, the optimal medians in graph are selected through the sum of distance of nodes to optimum medians. Recently, metaheuristics algorithms such as Genetic algorithms [15,16], bionomic approaches [17] and ant colony [18,19] are developed in order to obtain solutions for k-median problem.…”
Section: Introductionmentioning
confidence: 99%
“…Genetic algorithms are able to solve optimization problems containing non-differentiable objective functions thought the global optimum is not guaranteed (Castell et al, 1998;Martens, 2004;Mavridou and Pardalos, 1997;Wu et al, 2007). In addition, simulated annealing has been applied in the layout of manufacturing systems (Balakrishnan et al, 2003;McKendall and Shang, 2006 The models to solve the layout problems cited above did not directly include safety issues. A new trend in designing plant layouts for the process industry consists of extending the layout formulations with safety issues.…”
Section: Introductionmentioning
confidence: 99%
“…Then, the optimal medians of the graph are selected through the sum of the distances of the nodes from medians. Recently, metaheuristics such as Genetic algorithms [14,15], bionomic approaches [16] and ant colony algorithm [17,18] have been developed in order to obtain solutions for the k-median problem.…”
Section: Introductionmentioning
confidence: 99%