Discussion
Why does the choice of representation matter so much for a genetic algorithm?
Answer: C
If the parts of a solution that belong together are spread across the encoding, crossover disrupts them as often as it combines them, and the algorithm degenerates towards random search. Designing the encoding so that useful substructures are contiguous is the main craft in applying the method. Length, fitness definition and binary encoding are secondary. That an algorithm's performance depends more on the encoding than on its parameters is a lesson learned repeatedly in this area.
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