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- Study of some properties of neutral binary representationsPublication . Correia, Marisol B.This paper analyzes some of the properties of binary neutral representations considered in the literature, using families of neutral binary representations NNg (l, k) based on the mathematical formulation of error control codes. The performance of an (1 + 1)_ES modeled using Markov chains is used to verify that the representations of NNg (l, k) with better performance in NK(N, K) fitness landscapes with adjacent neighborhood do not exhibit extreme values of any of the properties commonly considered in the literature of evolutionary computation.
- How redundancy and neutrality may affect evolution on NK fitnessPublication . Correia, Marisol B.; Fonseca, C. M.An experimental study was performed to determine whether it is neutrality itself or the larger neighborhoods associated with neutral representations that allow good results to be achieved on NK fitness landscape problems. Markov chains were used to model a stochastic hill climber on NK fitness landscapes, using three types of representation: a neutral network representation, a redundant representation without neutrality which exhibits the same neighborhood of the neutral representation and a non-redundant representation.
- A Study of Redundancy and Neutrality in Evolutionary OptimizationPublication . Correia, Marisol B.Some authors consider that evolutionary search may be positively influenced by the use of redundant representations, whereas others note that the addition of random redundancy to a representation could be useless in optimization. Given this lack of consensus, two new families of redundant binary representations are developed in this paper.
- Study of some properties of neutral binary representationsPublication . Correia, Marisol B.This paper analyzes some of the properties of binary neutral representations considered in the literature, using families of neutral binary representations NNg(l,k) based on the mathematical formulation of error control codes. The performance of an (1+1)-ES modeled using Markov chains is used to verify that the representations of NNg(l,k) with better performance in NK(N,K) fitness landscapes with adjacent neighborhood do not exhibit extreme values of any of the properties commonly considered in the literature of evolutionary computation.