Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 48th Annual Conference of the Institute of Systems, Control and Information Engineers
Session ID : 4006
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Multi-Objective Optimization using Aspiration-Level based GDEA
*Yeboon YUN, Hirotaka NAKAYAMA, Masao ARAKAWA
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Keywords: Generalized Data Envelopment Analysis, Multi-Objective Genetic Algorithms, Pareto Optimal Solution, Aspiration-Level Method
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Abstract

This paper introduces the aspiration-level based GDEA (Generalized Data Envelopment Analysis) method to generate the most interesting part (not the whole of Pareto optimal solutions) to an aspiration level of decision maker for choosing a final solution from many Pareto optimal solutions. Finally, this paper illustrates the effectiveness of the proposed method through several numerical examples.

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© 2004 The Institute of Systems, Control and Information Engineers
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