Particle swarm optimization for facility layout problems with/out department-specific restrictions

  • Authors:
  • Muzaffer Kapanoglu;Fehime Utkan

  • Affiliations:
  • Department of Industrial Engineering, Osmangazi University, Eskisehir, Turkey;Department of Industrial Engineering, Anadolu University, Eskisehir, Turkey

  • Venue:
  • ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
  • Year:
  • 2006

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Abstract

The facility layout problems in today’s batch-to-mass manufacturing systems have gained a whole new face and popularity due to the requirements of mass customization. Facilities layout problem is still the most popular application for the Quadratic Assignment Problem [1]. The facility layout model addressed in this study is also known as quadratic assignment problem and formulated as integer linear programming formulation [2]. PSO performs a population-based search which emulates the social behavior of bird flocking and fish schooling [3]. In PSO, candidate solutions, called particles, search through the problem space by following the current optimal particles. Locations of particles in the search space are determined by their positions and velocities.