Title: A heuristic algorithm enhanced with probability-based incremental learning and local search for dynamic facility layout problems
Authors: T.G. Pradeepmon; Vinay V. Panicker; R. Sridharan
Addresses: Department of Mechanical Engineering, National Institute of Technology, Calicut, Kerala, 673 601, India ' Department of Mechanical Engineering, National Institute of Technology, Calicut, Kerala, 673 601, India ' Department of Mechanical Engineering, National Institute of Technology, Calicut, Kerala, 673 601, India
Abstract: The dynamic facility layout problem (DFLP) involves finding an arrangement of facilities that minimises the sum of material handling cost and rearrangement cost over multiple periods. In this paper, the DFLP is modelled as a multiple quadratic assignment problem (QAP), one for each period. Probability-based incremental learning algorithm with a pair-wise exchange local search (PBILA-PWX) is proposed for solving the QAP for each period. The proposed heuristic and 16 algorithms available in the literature are applied for solving a set of 48 benchmark instances of the DFLP. For most of the problem instances, the proposed heuristic provides better results in comparison with an existing robust algorithm. The deviations of the solutions for the proposed heuristic are found to be within 5% of the best known solutions. A case study conducted for determining the machine shop layout of firm manufacturing printing machines is also presented.
Keywords: quadratic assignment problem; QAP; dynamic facility layout problem; DFLP; estimation of distribution algorithm; probability-based incremental learning; pair-wise exchange local search; PBILA-PWX.
International Journal of Applied Decision Sciences, 2018 Vol.11 No.4, pp.352 - 389
Received: 16 Aug 2017
Accepted: 07 Mar 2018
Published online: 09 Jul 2018 *