Title :
Research of Multi-rows Facility Layout Based on Hybrid Algorithm
Author :
Miao, Zhou ; Xu, Ke-lin
Author_Institution :
Coll. of Mech. Eng., TongJi Univ., Shanghai, China
Abstract :
This paper introduces an improved model considering handling cost and handling time for multi-rows facility layout problem (FLP). A hybrid algorithm which is the superposition of genetic algorithm (GA) and tabu search (TS) is proposed to solve the model. A recombination operator called TSR is designed through introducing the memory function of TS into simple GA, and a mutation operator called TSM is also designed to improve climbing ability of the simple GA through utilizing TS algorithm. Last, this algorithm is proved that it has better global search capacity and faster convergence rate by case study. It is a better algorithm for solving facility layout problem.
Keywords :
convergence; facilities layout; genetic algorithms; search problems; convergence rate; cost handling; genetic algorithm superposition; global search capacity; hybrid algorithm; multirows facility layout problem; mutation operator; recombination operator; tabu search; time handling; Algorithm design and analysis; Cost function; Educational institutions; Genetic algorithms; Industrial engineering; Information management; Innovation management; Mathematical model; Production; Virtual manufacturing; facility layout; genetic algorithm; hybrid algorithm; multi-rows; tabu search;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3876-1
DOI :
10.1109/ICIII.2009.291