Litcius/Paper detail

A crossover operator for improving the efficiency of permutation-based genetic algorithms

Behrooz Koohestani

2020Expert Systems with Applications73 citationsDOI

Topics & Concepts

CrossoverPermutation (music)ChromosomeGenetic algorithmAlgorithmBenchmark (surveying)Computer scienceOperator (biology)Genetic operatorMathematical optimizationRepresentation (politics)MathematicsPopulation-based incremental learningArtificial intelligenceGeneticsRepressorLawTranscription factorAcousticsPoliticsGeodesyGenePhysicsPolitical scienceGeographyBiologyMetaheuristic Optimization Algorithms ResearchAdvanced Multi-Objective Optimization AlgorithmsEvolutionary Algorithms and Applications
A crossover operator for improving the efficiency of permutation-based genetic algorithms | Litcius