METAHEURISTIC BASED MULTIPLE RESPONSE PROCESS OPTIMIZATION

BASHIRI MAHDI; BARADARAN KAZEMZADEH REZA; ATKINSON ANTHONY C.; KARIMI HOSSEIN

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Journal: ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING) Year:1390 | Volume:45 | Issue:ویژه نامه Page(s): 13-23

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Title

METAHEURISTIC BASED MULTIPLE RESPONSE PROCESS OPTIMIZATION

Author(s)

BASHIRI MAHDI | BARADARAN KAZEMZADEH REZA | ATKINSON ANTHONY C. | KARIMI HOSSEIN

Keywords

MULTIPLE RESPONSE OPTIMIZATIONQ2

SIMULATED ANNEALINGQ2

PARTICLE SWARM OPTIMIZATIONQ2

DESIRABILITY FUNCTIONQ2

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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