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D. Datta, A. R. Amaral and J. R. Figueira, “Single Row Facility Layout Problem Using a Permutation-Based Genetic Algorithm,” European Journal of Operational Research, Vol. 213, No. 2, 2011, pp. 388-394.

has been cited by the following article:

• TITLE: A Hybrid Clonal Selection for the Single Row Facility Layout Problem with Unequal Dimensions

  AUTHORS: Hasan Hosseini-Nasab, Leila Emami

  KEYWORDS: Single Row Facility Layout; Clonal Selection Algorithm; Simulated Annealing

  JOURNAL NAME: iBusiness, Vol.4 No.3, September 27, 2012

  ABSTRACT: The single row facility layout problem (SRFLP) is an important combinatorial optimization problem where a given set of facilities have to be arranged in a single row to minimize the weighted sum of the distances between all pairs of facil-ities. In this paper, ahybrid method for single row facility layout problem is proposed in which, the simulated annealing (SA) is embedded in the clonal selection algorithm (CSA). The performance of the proposed algorithm is tested on benchmark problems. Computational results show the efficiency of the proposed algorithm compared to other heuristics.