Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems

GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation

Volumn , Issue , 2012, Pages 73-80

  Vellasques, Eduardo ^a   Sabourin, Robert ^a   Granger, Eric ^a  

^a ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

dynamic optimization; estimation of distribution algorithms; gaussian mixture models; particle swarm optimization

Indexed keywords

COMPACT DENSITY; COMPUTATIONAL BURDEN; DOCUMENT IMAGES; DYNAMIC OPTIMIZATION; DYNAMIC OPTIMIZATION PROBLEM (DOP); EMBEDDING PARAMETERS; ESTIMATION OF DISTRIBUTION ALGORITHMS; FITNESS VALUES; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURE MODELING; HETEROGENEOUS DATABASE; MEMORY OF SOLUTIONS; MIXTURE MODELING; PARAMETER SPACES; PROBLEM INSTANCES; PROOF OF CONCEPT; WATERMARKING SYSTEMS;

IMAGE PROCESSING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84864646973     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2330163.2330174     Document Type: Conference Paper

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