Risks, Volume 7, Issue 1 (March 2019) – 34 articles
Cover Story (view full-size image): A genetic algorithm (GA) simulates the evolution process. Starting with the initial population, it is more likely for highly fitting solutions to be selected and crossover to produce new offspring. Mutation is further employed to generate a new generation. The GA repeats the procedure until a satisfactory solution is achieved. View this paper.
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