Stopping criteria for MAPLS-AW, a hybrid multi-objective evolutionary algorithm

Evolutionary algorithms are widely used to solve multi-objective optimization problems effectively by performing global search over the solution space to find better solutions. Hybrid evolutionary algorithms have been introduced to enhance the quality of solutions obtained. One such hybrid algorithm...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 20; H. 6; S. 2409 - 2432
Hauptverfasser:	Bhuvana, J., Aravindan, Chandrabose
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2016 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computational Intelligence Control Convergence Design Engineering Evolutionary algorithms Genetic algorithms Mathematical Logic and Foundations Mechatronics Methodologies and Application Multiple objective analysis Mutation Optimization Robotics Searching Solution space EELD Hybrid multi-objective evolutionary algorithms Stopping criteria Convergence
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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