Abstract
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.
Original language | English |
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Pages (from-to) | 192-203 |
Number of pages | 12 |
Journal | IEEE Transactions on Evolutionary Computation |
Volume | 5 |
Issue number | 3 |
DOIs | |
State | Published - Jun 2001 |
Keywords
- Genetic alogorithms
- Materials handling
- Optimization methods