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Table 2 Differences between the implementations of GA and DE with respect to the four common steps of EAs

From: Application of evolutionary and swarm optimization in computer vision: a literature survey

 

GA

DE

Parents selection

Fitness-based selection

Random selection

Crossover

Genes swapping between two parents to generate two offspring

Components selection from parent (target vector) and donor vector to generate one offspring (trial vector)

Mutation

Bit inversion of each gene

Generation of one donor vector from three individuals

Survivors selection

Complete replacement

Fitness-based competition