Title | ||
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Variable-weight method of multi-objective fuzzy optimization design based on control principle of feedback |
Abstract | ||
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The multi-objective optimal problems are usually solved with linear weight method, but each weight factor is a constant in this method. It can't respond to the interaction effects to each sub-objective in the optimization process. After analyzing the similarity between closed-loop feedback control in the control systems and the dynamic progress of multi-objective optimization calculating, the paper develops a method of variable-weight and assessment functions. The method is based on closed-loop feedback control theory. At last, an example of multi-objective optimization is given to verify if the method is validity. |
Year | DOI | Venue |
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2010 | 10.1109/ICNC.2010.5583342 | ICNC |
Keywords | Field | DocType |
optimisation,variable-weight method,multi-objective optimization,linear weight method,closed loop feedback control,multiobjective fuzzy optimization,feedback,feedback control,variable weight method,fuzzy control,closed loop systems,weighted function,open loop systems,transfer functions,multi objective optimization,reliability,weight function,control system,optimization,interaction effect,indexes | Probabilistic-based design optimization,Mathematical optimization,Control theory,Computer science,Test functions for optimization,Fuzzy logic,Multi-objective optimization,Multi-swarm optimization,Transfer function,Fuzzy control system,Control system | Conference |
Volume | ISBN | Citations |
5 | 978-1-4244-5958-2 | 0 |
PageRank | References | Authors |
0.34 | 3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Weidong Wu | 1 | 0 | 2.37 |
Xingwei An | 2 | 21 | 11.88 |