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Information Journal Paper

Title

METAHEURISTIC BASED MULTIPLE RESPONSE PROCESS OPTIMIZATION

Pages

  13-23

Abstract

 The simultaneous optimization of multiple responses is an important problem in the design of industrial processes in order to achieve improved quality. In this paper, we present a new metaheuristic approach including SIMULATED ANNEALING and PARTICLE SWARM OPTIMIZATION to optimize all responses simultaneously. For the purpose of illustration and comparison, the proposed approach is applied to two problems taken from the literature. The results of our study show that the proposed approach outperforms the other approaches and can find better solutions.Finally, in both cases, we present the results of a sensitivity analysis incorporating experimental design.

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    APA: Copy

    BASHIRI, MAHDI, BARADARAN KAZEMZADEH, REZA, ATKINSON, ANTHONY C., & KARIMI, HOSSEIN. (2011). METAHEURISTIC BASED MULTIPLE RESPONSE PROCESS OPTIMIZATION. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), -(SUPPLEMENT), 13-23. SID. https://sid.ir/paper/166416/en

    Vancouver: Copy

    BASHIRI MAHDI, BARADARAN KAZEMZADEH REZA, ATKINSON ANTHONY C., KARIMI HOSSEIN. METAHEURISTIC BASED MULTIPLE RESPONSE PROCESS OPTIMIZATION. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2011;-(SUPPLEMENT):13-23. Available from: https://sid.ir/paper/166416/en

    IEEE: Copy

    MAHDI BASHIRI, REZA BARADARAN KAZEMZADEH, ANTHONY C. ATKINSON, and HOSSEIN KARIMI, “METAHEURISTIC BASED MULTIPLE RESPONSE PROCESS OPTIMIZATION,” ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. -, no. SUPPLEMENT, pp. 13–23, 2011, [Online]. Available: https://sid.ir/paper/166416/en

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