Locating input and output points in facilities design - A comparison of constructive, evolutionary, and exact methods

ARAPOĞLU R. A., Norman B., Smith A.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, vol.5, no.3, pp.192-203, 2001 (SCI-Expanded) identifier identifier


This paper formulates and compares four new approaches to optimally locate the input and output station for each department within a facility design such that material handling costs are minimized. This problem is an NP-hard combinatorial problem with many real-life applications of considerable economic consequence. A genetic algorithm (GA) is shown to be an effective and efficient optimization method when compared to integer programming, simulated annealing, and three versions of a greedy constructive heuristic on a suite of test problems of varying size. Seeding versus random initialization of GA populations are compared.