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Enhanced Interactive Satisfying Optimization Approach To Multiple Objective Optimization With Preemptive Priorities

Author

Listed:
  • CHAOFANG HU

    (Institute of Automation, Shanghai Jiao Tong University, 1954 Hua Shan Road, Shanghai 200240, P. R. China)

  • SHAOYUAN LI

    (Institute of Automation, Shanghai Jiao Tong University, 1954 Hua Shan Road, Shanghai 200240, P. R. China)

Abstract

This paper proposes an enhanced interactive satisfying optimization method based on goal programming for the multiple objective optimization problem with preemptive priorities. Based on the previous method, the approach presented makes the higher priority achieve the higher satisfying degree. For three fuzzy relations of the objective functions, the corresponding optimization models are proposed. Not only can satisfying results for all the objectives be acquired, but the preemptive priority requirement can also be simultaneously actualized. The balance between optimization and priorities is realized. We demonstrate the power of this proposed method by illustrative examples.

Suggested Citation

  • Chaofang Hu & Shaoyuan Li, 2006. "Enhanced Interactive Satisfying Optimization Approach To Multiple Objective Optimization With Preemptive Priorities," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 47-63.
    • Handle: RePEc:wsi:ijitdm:v:05:y:2006:i:01:n:s0219622006001848
    DOI: 10.1142/S0219622006001848
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    References listed on IDEAS

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    1. Yong Shi, 2001. "Multiple Criteria and Multiple Constraint Levels Linear Programming:Concepts, Techniques and Applications," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 4000, February.
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    Cited by:

    1. Li, Shaoyuan & Hu, Chaofang, 2009. "Satisfying optimization method based on goal programming for fuzzy multiple objective optimization problem," European Journal of Operational Research, Elsevier, vol. 197(2), pages 675-684, September.

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