A novel cooperative coevolutionary dynamic multi-objective optimization algorithm using a new predictive model

Dynamic multi-objective optimization problem (DMOP) is quite challenging and it dues to that there are multiple conflicting objects changing over with time or environment. In this paper, a novel cooperative coevolutionary dynamic multi-objective optimization algorithm (PNSCCDMO) is proposed. The mai...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 18; H. 10; S. 1913 - 1929
Hauptverfasser:	Liu, Ruochen, Chen, Yangyang, Ma, Wenping, Mu, Caihong, Jiao, Licheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2014 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Capital budgeting Computational Intelligence Control Decomposition Engineering Genetic algorithms Mathematical Logic and Foundations Mechatronics Methodologies and Application Multiple objective analysis Optimization algorithms Optimization techniques Pareto optimization Prediction models Regression analysis Robotics Evolutionary algorithms Dynamic multi-objective optimization Coevolution Predictive model
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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