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| Author: | Yun, Y. B. |
| Title: | Generation of efficient frontiers in multi-objective optimization problems by generalized data envelopment analysis |
| Journal: | European Journal of Operational Research
2001 : MAR 16, VOL. 129:3, p. 586-595 |
| Index terms: | ALGORITHMS OPTIMIZATION DATA ENVELOPMENT ANALYSIS |
| Language: | eng |
| Abstract: | The paper proposes a method combining generalized data envelopment analysis (GDEA) and GA for generating efficient frontiers in multi-objective optimization problems GDEA removes dominated design alternatives faster then methods based on only GA. The proposed method can yield desirable efficient frontiers even in non-convex problems as well as convex problems. The effectiveness of the proposed method will be shown though several numerical examples. The method proposed in this paper overcomes shortcomings of existing methods: it provides a lot of Pareto optimal solutions in a small number of generations. The proposed method is very useful for making decisions on the basis of visualized efficient frontiers in optimization problems with two or three objective functions. |
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