Pareto partial dominance MOEA and hybrid archiving strategy included CDAS in many-objective optimization

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Volumn , Issue , 2010, Pages

  Sato, Hiroyuki ^a   Aguirre, Hernán E ^b   Tanaka, Kiyoshi ^b  

^a UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

^b SHINSHU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

0/1 KNAPSACK PROBLEMS; ENTIRE SEARCHES; EVOLUTION PROCESS; GENERATION NUMBERS; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; NSGA-II; OBJECTIVE FUNCTIONS; OPTIMUM VALUE; SEARCH PERFORMANCE; SELECTION PRESSURES; SIMULATION RESULT; WELL-SPREAD;

ARTIFICIAL INTELLIGENCE; EVOLUTIONARY ALGORITHMS; INTEGER PROGRAMMING; MULTIOBJECTIVE OPTIMIZATION;

PARETO PRINCIPLE;

EID: 79959460480     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5586247     Document Type: Conference Paper

References (11)

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