In this chapter, we discussed the co-evolution of two populations of species. You learned how commensalistic co-evolution can be implemented to produce a population of successful maze solvers. We introduced you to an exciting approach of implementing a fitness function of the maze solver that combines the objective-based score and the novelty score using coefficients produced by the population of the objective function candidates. Also, you have learned about the modified Novelty Search method and how it differs from the original method, which we discussed in Chapter 6, Novelty Search Optimization Method.
Using the knowledge gained in this chapter, you will be able to apply a commensalistic co-evolution approach to your work or research tasks that have no clear fitness function definition.
In the next chapter, you will learn about the deep neuroevolution method and how...
