Seeding the initial population of a multi-objective evolutionary algorithm using gradient-based information

2008 IEEE Congress on Evolutionary Computation, CEC 2008

Volumn , Issue , 2008, Pages 1617-1624

  Hernández Díaz, Alfredo G ^a   Coello, Carlos A Coello ^b   Pérez, Fátima ^c   Caballero, Rafael ^c   Molina, Julián ^c   Santana Quintero, Luis V ^b  

^a UNIVERSIDAD PABLO DE OLAVIDE   (Spain)

^b DEPARTAMENTO DE FÍSICA   (Mexico)

^c UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; CONTINUOUS PROBLEMS; EVOLUTIONARY METHODS; EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATIONS; GRADIENT INFORMATIONS; INITIAL POPULATIONS; INITIAL SOLUTIONS; MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS; NSGA-II; OBJECTIVE OPTIMIZATIONS; PARETO FRONTS; POTENTIAL BENEFITS; QUADRATIC REGRESSIONS; SEARCH PROCESSES; STEEPEST DESCENT METHODS; STEP LENGTHS; TEST SUITES;

BOOLEAN FUNCTIONS; FUNCTION EVALUATION; FUNCTIONS; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION; POPULATION STATISTICS;

EVOLUTIONARY ALGORITHMS;

EID: 55749100315     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2008.4631008     Document Type: Conference Paper

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