Solving the semi-desirable facility location problem using bi-objective particle swarm

In this paper, a new model for the semi-obnoxious facility location problem is introduced. The new model is composed of a weighted minisum function to represent the transportation costs and a distance-based piecewise function to represent the obnoxious effects of the facility. A single-objective particle swarm optimizer (PSO) and a bi-objective PSO are devised to solve the problem. Results are compared on a suite of test problems and show that the bi-objective PSO produces a diverse set of non-dominated solutions more efficiently than the single-objective PSO and is competitive with the best results from the literature. Computational complexity analysis estimates only a linear increase in effort with problem size. Ó 2006 Elsevier B.V. All rights reserved.

• Type: Journal
• Year: 2007
• Where: EOR
• Authors: Haluk Yapicioglu, Alice E. Smith, Gerry V. Dozier
• Keywords: Bi-objective Pso, EOR 2007, Facility Location Problem, Weighted Minisum Function