Novel genetic algorithm based on species selection for solving constrained non-linear programming problems

Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)

Volumn 40, Issue 1, 2009, Pages 185-189

  Liang, Xi Ming ^a   Zhu, Can ^a,b   Yan, Dong Huang ^b  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Cross operator; Genetic algorithms; Nonlinear constrained optimization; Population decomposition; Species selection

Indexed keywords

GENETIC ALGORITHMS; GRIPPERS; LINEAR PROGRAMMING; LINEARIZATION; MATHEMATICAL OPERATORS;

CONVERGENT SPEED; CROSS OPERATOR; CURRENT GENERATIONS; EVOLUTIONARY STABLE STRATEGIES; LOCAL SEARCHING; NEW APPROACHES; NON-LINEAR PROGRAMMING PROBLEMS; NONLINEAR CONSTRAINED OPTIMIZATION; NOVEL GENETIC ALGORITHMS; NUMERICAL TESTS; POPULATION DECOMPOSITION; POPULATION DIVERSITIES; SELF-ADAPTIVE MUTATIONS; SPECIES SELECTION;

CONSTRAINED OPTIMIZATION;

EID: 63349105416     PISSN: 16727207     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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