Evolutionary Robotics
Arithmetic crossover is a genetic operator used in evolutionary algorithms where two parent solutions are combined to produce offspring by calculating a weighted average of their traits. This technique helps to create new individuals that retain desirable features from both parents, promoting diversity and exploration within the solution space. It often serves as a smooth transition method between the parents' characteristics, encouraging convergence toward optimal solutions.
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