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Strategic Study of CAE >> 2000, Volume 2, Issue 9

Fuzzy Optimum Selection Dynamic Programming Methodology for Multi-objective Optimization of Multi-stage Systems

College of Environmental Engineering, Dalian Maritime University,Dalian, Liaoning 116026, China

Funding project:国家留学基金留学回国人员科研资助和辽宁省教委高校科研项目(994521806) Received: 2000-01-06 Revised: 2000-05-10 Available online: 2000-09-20

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Abstract

Based on the concepts of the fuzzy weighted distance and membership degree, the fuzzy optimum selection dynamic programming technique that can be used for the optimization of multi-objective and multi-stage systems are developed by means of the combination of fuzzy optimum selection theory with dynamic programming technique. This is a new methodology for solving the multi-objective optimization problems of multi-stage systems. Finally, an application to the optimization of a multiple reactor system is given as an example.

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References

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