A Parallel Genetic Algorithm

• We adopt a population-based approach as opposed to a generation-based one.
• We will keep a fixed population "alive" and use the workers to evaluate the fitness of candidate individuals.
• If a candidate turns out to be better than some member of the current population, then we replace the worst member of the current population with the new individual.

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