booktitle = "IEEE International Conference on Systems, Man and
Cybernetics (SMC 2014)",
title = "Rank-based Semantic Control Crossover in Genetic
Programming",
year = "2014",
month = oct,
pages = "501--506",
abstract = "Subtree exchange crossover which is usually used in
Genetic Programming (GP) can not control the search
properties such as global or local search, because
crossover points in parental individuals are selected
at random. To overcome the problem, crossover based on
semantic distance of subtrees has been studied recent
years. If similar subtrees in semantic space are
exchanged, the local search can be performed. In
contrast, dissimilar subtrees are exchanged, the global
search can be performed. In Semantic Control Crossover
(SCC), the global search can be performed in early
generations, and the local search can be performed in
later generations. In this paper, we propose a new SCC
based on the ranking information of parents, Rank-based
SCC. The method controls search properties according to
not generations but ranking information of parents. In
case of the crossover to a pair of parents with higher
ranks, similar subtrees should be exchanged for local
search around the parents. In contrast, in case of the
crossover to a pair of parents with lower ranks,
dissimilar subtrees should be exchanged for global
search. We compared the search performance of three
methods, standard crossover, conventional SCC and
Rank-based SCC, and showed the effectiveness of our
method.",