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Title:Population-based improvement heuristic with local search for single-row facility layout problem
Authors:ID Atta, Soumen, Indian Institute of Information Technology (IIIT) Vadodara, Gandhinagar Campus, Sector 28, Gandhinagar, Gujarat 382028, India (Author)
ID Sinha Mahapatra, Priya Ranjan, Department of Computer Science and Engineering, University of Kalyani, Kalyani, 741235, India (Author)
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Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Abstract:The Single-Row Facility Layout Problem (SRFLP) is a well-known combinatorial optimization problem. The objective of SRFLP is to find out the arrangement of facilities with given lengths on a line so that the weighted sum of the distances between all pairs of facilities is minimized. This problem is known to be NP-hard. Hence, a population-based improvement heuristic algorithm with local search is presented in this article to solve SRFLP. The proposed algorithm works well also for the Single-Row Equidistant Facility Layout Problem (SREFLP), where the length of each facility is equal. The computational efficiency of the proposed algorithm is checked with the instances of sizes ranging from 5 to 300 available in the literature for SRFLP and SREFLP. The obtained results are compared to those from different state-of-the-art algorithms. The proposed algorithm achieves best known solutions to date for every instance considered in this article in reasonable computational time.
Keywords:Single-row facility layout problem (SRFLP), single-row equidistant facility layout problem (SREFLP), population-based heuristic, improvement heuristic, local search
Year of publishing:2019
Number of pages:1-19
Numbering:222, 44
PID:20.500.12556/RUNG-8143 New window
COBISS.SI-ID:149352451 New window
DOI: New window
Publication date in RUNG:17.04.2023
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Shortened title:Sādhanā
Year of publishing:2019