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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