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Application of Chaos Optimization Algorithm to Nonlinear Constrained Programming

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2010Publisher:IEEEJournal:2010 International Conference on E-Product E-Service and E-Entertainment
Authors: Zhiliang Wang; Yongshan Zhang;

doi: 10.1109/iceee.2010.5660461

Application of Chaos Optimization Algorithm to Nonlinear Constrained Programming

Abstract

The studying history and present situation of chaos optimization algorithm is summarized and the basic steps of this method are introduced.A new,feasible chaos optimization is presented to nonlinear constrained programming problems. Computing results in an instance show that this algorithm is reliable and applicable to almost all of the problems in multidimensional, nonlinear,complex constrained programming.This algorithm is liable to be applied and mastered.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
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