A Review of Meta-heuristic Approaches to Solve Facility Layout Problem

نویسندگان

  • Parveen Sharma
  • Ravi Pratap Singh
  • Sandeep Singhal
چکیده

In this paper an effort is made to present a state-of-the-art review of meta-heuristic approaches in solving facility layout problems. Facility layout directly affects the productivity of the industries so it is very important to solve it carefully. There are many approaches, methods and techniques to solve and optimize the layout problem. The current and future trends involving design objectives, algorithms and methodologies are presented in this paper. A trend towards multi-objective approaches using meta-heuristics such as particle swarm optimization (PSO), genetic algorithm (GA), ant colony optimization (ACO) and simulated annealing (SA) is observed. It is also observed that some facility layout software also developed using these meta-heuristics. Keywords— meta-heuristic; facility layout problem; optimize; algorithms; genetic algorithm; etc

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تاریخ انتشار 2013