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A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms

Chaoda Peng, Hai‐Lin Liu, Erik D. Goodman, Kay Chen Tan

2021Knowledge-Based Systems15 citationsDOI

Topics & Concepts

Benchmark (surveying)Computer sciencePopulationEvolutionary algorithmSet (abstract data type)Point (geometry)DecompositionMathematical optimizationMulti-objective optimizationConstraint (computer-aided design)Field (mathematics)Evolutionary computationAlgorithmPareto principleData miningMachine learningMathematicsSociologyGeodesyProgramming languageBiologyGeographyPure mathematicsEcologyGeometryDemographyAdvanced Multi-Objective Optimization AlgorithmsMetaheuristic Optimization Algorithms ResearchOptimal Experimental Design Methods
A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms | Litcius