Pareto cone ε-dominance: Improving convergence and diversity in multiobjective evolutionary algorithms

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6576 LNCS, Issue , 2011, Pages 76-90

  Batista, Lucas S ^a   Campelo, Felipe ^a   Guimarães, Frederico G ^a   Ramírez, Jaime A ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

dominance; evolutionary algorithms; Evolutionary multiobjective optimization; Pareto front

Indexed keywords

CONVERGENCE PROPERTIES; DOMINANCE TECHNIQUE; EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION; EXPERIMENTAL VALIDATIONS; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; PARETO DOMINANCE; PARETO FRONT; PARETO-OPTIMAL FRONT; VIABLE SOLUTIONS; DIVERSITY OF SOLUTIONS; NON-DOMINATED POINTS;

CONVERGENCE OF NUMERICAL METHODS; EVOLUTIONARY ALGORITHMS; PARETO PRINCIPLE; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION;

MULTIOBJECTIVE OPTIMIZATION; EVOLUTIONARY ALGORITHMS;

EID: 79953816416     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19893-9_6     Document Type: Conference Paper

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