Performance assessment of the hybrid archive-based Micro genetic algorithm (amga) on the cec09 test problems

2009 IEEE Congress on Evolutionary Computation, CEC 2009

Volumn , Issue , 2009, Pages 1935-1942

  Tiwari, Santosh ^a   Fadel, Georges ^b   Koch, Patrick ^a   Deb, Kalyanmoy ^c  

^a South   (United States)

^b DASSAULT SYSTÈMES   (France)

^c INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK SUITES; EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION; FAST LOCAL SEARCHES; GENETIC MUTATIONS; GLOBAL OPTIMIZER; GLOBAL SEARCH; GRADIENT BASED; MICRO GENETIC ALGORITHM; MUTATION OPERATORS; NONCONVEX OPTIMIZATION; NONDOMINATED SOLUTIONS; OPTIMIZATION FUNCTION; OPTIMIZERS; PERFORMANCE ASSESSMENT; REFERENCE POINTS; SCALARIZATION; SEQUENTIAL QUADRATIC PROGRAMMING METHOD; SIMULATION RESULT; SINGLE OBJECTIVE OPTIMIZATION; SYNTHETIC TESTS; TEST PROBLEM;

CONVEX OPTIMIZATION; MATHEMATICAL OPERATORS; MATLAB; MULTIOBJECTIVE OPTIMIZATION; QUADRATIC PROGRAMMING;

EVOLUTIONARY ALGORITHMS;

EID: 70449794467     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2009.4983177     Document Type: Conference Paper

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