December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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Fitness function for the objective function candidates
The SAFE method is based on a commensalistic co-evolutionary approach, which means that one of the co-evolving populations neither benefits nor is harmed during the evolution. In our experiment, the commensalistic population is the population of the objective function candidates. For this population, we need to define a fitness function that is independent of the performance of the maze-solver population.
A suitable candidate for such a function is a fitness function that uses the novelty score as the fitness score to be optimized. The formula to calculate the novelty score of each objective function candidate is the same as given for the maze solvers. The only difference is that in the ...
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