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A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D

Matheus Bernardelli de Moraes, Guilherme Palermo Coelho

2022Expert Systems with Applications17 citationsDOI

Topics & Concepts

Mathematical optimizationBenchmark (surveying)Tabu searchComputer scienceMulti-objective optimizationConvergence (economics)Combinatorial optimizationOptimization problemLocal search (optimization)Pareto principleMathematicsGeodesyGeographyEconomic growthEconomicsAdvanced Multi-Objective Optimization AlgorithmsMetaheuristic Optimization Algorithms ResearchReservoir Engineering and Simulation Methods
A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D | Litcius