A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Crossover in Genetic Programming is mostly a destructive operator, generally producing children worse than the parents and occasionally producing those who are better. A recently ...
Abstract. To analyse various properties of the search process of genetic programming it is useful to quantify the distance between two individuals. Using operator-based distance me...
Leonardo Vanneschi, Steven Gustafson, Giancarlo Ma...
In this paper we first review the main results in the theory of schemata in Genetic Programming (GP) and summarise a new GP schema theory which is based on a new definition of s...
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...