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Showing 1 to 5 of 5 for “"Nondominated Sorting"”.
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Multi-objective evolutionary algorithms for product design
… Adaptation Evolution Strategy (MO-CMA-ES) and Nondominated Sorting Genetic Algorithm II (NSGA-II), including two novel meta-heuristics for enhanced molecular exploration. Our findings reveal that MO-CMA-ES, especially when combined with an extended search meta-heuristic, excels in exploring …
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Multi-Objective Linear Programming Revisited: Exact and Approximate Approaches
… some of them to generate the set of all nondominated points of the problem. It then compares these extended variants with others such as Benson's algorithm, the affine scaling interior-point MOLP algorithm and the recently introduced parametric simplex algorithm. Furthermore, the thesis …
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Accelerating MOEA Non-dominated Sorting by Preserving Archival Relationships
Non-dominated sorting is an important part of many multi-objective evolutionary algorithms (MOEAs). It is used to determine which individuals to keep in the archive of best individuals between generations and to evaluate fitness for breeding. Because this sorting is performed after every …
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Multiobjective Simulation Optimization Using Enhanced Evolutionary Algorithm Approaches
… frontier while maintaining a diverse set of nondominated solutions along the Pareto optimal front. New concepts of solution dominance are defined for better discrimination among competing solutions in stochastic environments. SPGA uses a solution ranking strategy based on these new concepts. …
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Advances and applications in high-dimensional heuristic optimization
<p>“Applicable to most real-world decision scenarios, multiobjective optimization is an area of multicriteria decision-making that seeks to simultaneously optimize two or more conflicting objectives. In contrast to single-objective scenarios, nontrivial multiobjective optimization problems are …