NDLI: A modified particle swarm optimization algorithm for dynamic multiresponse optimization based on goal programming approach

Content Provider	IEEE Xplore Digital Library
Author	Zhang Liu-yang Ma Yi-zhong Zhu Lian-yan Wang Jian-jun
Copyright Year	2014
Description	Author affiliation: Sch. of Econ. & Manage., Nanjing Univ. of Sci. & Technol., Nanjing, China (Zhang Liu-yang; Ma Yi-zhong; Zhu Lian-yan; Wang Jian-jun)
Abstract	While many of the previous applications based on the Taguchi method only focus on single-response optimization in static system, dynamic multiresponse optimization has received only limited attentions. Optimization of dynamic multiresponse aims at finding out a setting combination of input controllable factors that will result in optimal solutions for all response variables at each signal level. However, it is often difficult to find an optimal setting when multiple responses are simultaneously considered because of their contradiction among the requirements. Hence, a new robust design optimization procedure based on response surface methodology is proposed in the article. The polynomial models of system sensitivity and the error variance for each response are firstly fitted, and corresponding individual desirability functions based on their respective characteristic are defined. Then, goal programming approach is used to resolve multiresponse optimization problems. Because the problems are often multiobjective optimization problems and are often with multipeak distribution, multiconstraint and high nonlinearity, traditional gradient algorithms are easy to obtain local optimal solutions. So a modified particle swarm optimization algorithm is proposed to search global optimal solution. The example shows that the proposed approach can obtain more effectively solutions for dynamic multiresponse optimization problems.
Starting Page	160
Ending Page	166
File Size	403273
Page Count	7
File Format	PDF
ISBN	9781479953752
ISSN	21551855
e-ISBN	9781479953769
DOI	10.1109/ICMSE.2014.6930224
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-17
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	multiobjective optimization Sensitivity dynamic multiresponse goal programming Heuristic algorithms Programming Robustness response surface methodology Particle swarm optimization particle swarm optimization algorithm Optimization Signal to noise ratio
Content Type	Text
Resource Type	Article

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