There are limitations of the use of a genetic algorithm compared to alternative optimization algorithms:
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For general problem classes there may be no way to show that meta GP will reliably produce results more efficiently than a created algorithm other than exhaustion.
I used a GA to optimize seating assignments at my wedding reception. 80 guests over 10 tables. Evaluation function was based on keeping people with their dates, putting people with something in common together, and keeping people with extreme opposite views at separate tables.
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