Memetic Viability Evolution for Constrained Optimization

5 Oct 2018A. MaesaniG. IaccaD. Floreano

The performance of evolutionary algorithms can be heavily undermined when constraints limit the feasible areas of the search space. For instance, while Covariance Matrix Adaptation Evolution Strategy is one of the most efficient algorithms for unconstrained optimization problems, it cannot be readily applied to constrained ones... (read more)

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