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Journal of Cloud Computing

Advances, Systems and Applications

Table 2 Genetic algorithm (GA) parameters

From: Performance evaluation of multivariate statistical techniques using edge-enabled optimisation for change detection in activity monitoring

Parameters

GA

Population Size

50

Selection

Stochastic uniform

Reproduction

0.8

Crossover

Scattered

Mutation

Adaptive feasible

Generations

100

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