international conference on Genetic algorithms · 1987 · 1.4K citations · 0 references
Public HealthBiostatisticsMachine LearningBias-variance TradeoffGenetic AlgorithmsSampling MethodsSampling TheorySelection BiasSelection MethodsBias Reduction In SamplingSampling BiasSampling Bias AdjustmentSampling Bias AssessmentSelection Bias Correction
Most implementations of genetic algorithms experience sampling bias and are unnecessarily inefficient. This paper reviews various sampling algorithms proposed in the literature and offers two new algorithms of reduced bias and increased efficiency. An empirical analysis of bias is then presented.