Results 211 to 220 of about 2,015 (249)
Machine Learning-Driven Multi-Objective Optimization of Bead Geometry and Energy Efficiency in Laser-Arc Hybrid Additive Manufacturing. [PDF]
Xia C, Zeng K, Ning J, Ding Y, Liu Y.
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Research on Multi-Objective Optimization Method for Hydroforming Loading Path of Centralizer. [PDF]
Zheng Z +6 more
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Pareto Dominance Based Multi-objective Cohort Intelligence Algorithm
SSRN Electronic Journal, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Patil, Mukundraj V., Kulkarni, Anand J.
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Evolutionary Computation, 2007
Efficiency has become one of the main concerns in evolutionary multiobjective optimization during recent years. One of the possible alternatives to achieve a faster convergence is to use a relaxed form of Pareto dominance that allows us to regulate the granularity of the approximation of the Pareto front that we wish to achieve. One such relaxed forms
Alfredo G. Hernández-Díaz +3 more
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Efficiency has become one of the main concerns in evolutionary multiobjective optimization during recent years. One of the possible alternatives to achieve a faster convergence is to use a relaxed form of Pareto dominance that allows us to regulate the granularity of the approximation of the Pareto front that we wish to achieve. One such relaxed forms
Alfredo G. Hernández-Díaz +3 more
openaire +1 more source
Pareto-adaptive epsilon-dominance.
Evolutionary computation, 2008Efficiency has become one of the main concerns in evolutionary multiobjective optimization during recent years. One of the possible alternatives to achieve a faster convergence is to use a relaxed form of Pareto dominance that allows us to regulate the granularity of the approximation of the Pareto front that we wish to achieve.
Alfredo G, Hernández-Díaz +3 more
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Second degree Pareto dominance
Social Choice and Welfare, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aboudi, Ronny, Thon, Dominique
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On Pareto Dominance in Decomposably Antichain-Convex Sets
Journal of Optimization Theory and Applications, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ceparano, Maria Carmela +1 more
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Pareto-dominance in noisy environments
2009 IEEE Congress on Evolutionary Computation, 2009Noisy environments are a challenging task for multiobjective evolutionary algorithms. The algorithms may be trapped in local optima or even become a random search in the decision and objective space. In the course of the paper the classical definition of Pareto-dominance is enhanced subject to noisy objective functions in order to make the evolutionary
Heike Trautmann +2 more
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