Name: Baka 2014-05-27 21:20
In a genetic algorithm you will often see two different local optima being generated, of which the combination operator always creates worse solutions, unless one of these solutions manages to climb back to one of these local optima.
So imagine a fitness landscape with a few huge peaks, and a lot of valleys around it. Combining two of the peaks will lead to a point in the valleys that will either move up back to one of the peaks, or miss out in the next generation.
What if this applies to humans. What if there are genetically good solutions to environmental problems, with huge masses of failure in-between.
So imagine a fitness landscape with a few huge peaks, and a lot of valleys around it. Combining two of the peaks will lead to a point in the valleys that will either move up back to one of the peaks, or miss out in the next generation.
What if this applies to humans. What if there are genetically good solutions to environmental problems, with huge masses of failure in-between.