| Article ID: | iaor19992855 |
| Country: | United Kingdom |
| Volume: | 5 |
| Issue: | 1 |
| Start Page Number: | 13 |
| End Page Number: | 25 |
| Publication Date: | Jan 1998 |
| Journal: | International Transactions in Operational Research |
| Authors: | Pierreval Henri, Plaquin Marie-France |
| Keywords: | programming: multiple criteria |
Several approaches to designing cellular manufacturing systems exist, but they are generally based on the optimization of a single criterion, such as the minimization of the inter-cell movement or the total cost. Unfortunately, in practice, it is often necessary to take into account multiple criteria. We present an approach based on a niched Pareto evolutionary algorithm which does not rely on weights or distances to a target solution. The suggested method allows several solutions to be provided, so that a choice is offered to the decision maker, according to his/her particular constraints. A new recombination operator is also presented. This approach is illustrated on a cell formation problem using two criteria: the cell workload and the traffic between cells.