Barzinpour, F., Mohammadpour Omran, M., Hoseini, S., Fahimi, K., Samaei, F. (2015). A New Optimization via Invasive Weeds Algorithm for Dynamic Facility Layout Problem. Journal of Quality Engineering and Production Optimization, 1(1), 11-20. doi: 10.22070/jqepo.2015.185

Farnaz Barzinpour; Mohammad Mohammadpour Omran; Seyed Farzad Hoseini; Kaveh Fahimi; Farshid Samaei. "A New Optimization via Invasive Weeds Algorithm for Dynamic Facility Layout Problem". Journal of Quality Engineering and Production Optimization, 1, 1, 2015, 11-20. doi: 10.22070/jqepo.2015.185

Barzinpour, F., Mohammadpour Omran, M., Hoseini, S., Fahimi, K., Samaei, F. (2015). 'A New Optimization via Invasive Weeds Algorithm for Dynamic Facility Layout Problem', Journal of Quality Engineering and Production Optimization, 1(1), pp. 11-20. doi: 10.22070/jqepo.2015.185

Barzinpour, F., Mohammadpour Omran, M., Hoseini, S., Fahimi, K., Samaei, F. A New Optimization via Invasive Weeds Algorithm for Dynamic Facility Layout Problem. Journal of Quality Engineering and Production Optimization, 2015; 1(1): 11-20. doi: 10.22070/jqepo.2015.185

A New Optimization via Invasive Weeds Algorithm for Dynamic Facility Layout Problem

^{1}Department of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran

^{2}Department of Civil and Engineering, Ports & Maritime Organization, Bandar Abbas, Iran

Abstract

The dynamic facility layout problem (DFLP) is the problem of finding positions of departments on the plant floor for multiple periods (material flows between departments change during the planning horizon) such that departments do not overlap, and the sum of the material handling and rearrangement costs is minimized. In this paper a new optimization algorithm inspired from colonizing weeds, Invasive Weeds Optimization (IWO) is utilized to solve the well-known DFLP. IWO is a simple algorithm which uses basic characteristics of a colony of weeds such as proliferation, growth and competition. A set of reference numerical problems is taken in order to evaluate the efficiency of the algorithm compared with the Dynamic Programming method which had been applied to solve the addressed problem. In order to verify the efficiency of the proposed algorithm a wide range of experiments are carried out to compare the proposed algorithm. Computational results have indicated that the DIWO algorithm is capable of obtaining optimal solutions for small and medium-scaled problems very efficiently.

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