Abstract- The Maximum Homologous Crossover at-tempts to preserve similar structures from parents by aligning them according to their homology. In this pa-per, it is successfully tested on the classical Even-N Par-ity Problem where it demonstrates interesting abilities in bloat reduction. Then, we show that this operator gives an accurate control of the size of programs during the evolution and thus, allows the development of new strategies for the search space exploration.
The use of variable-length genomes in evolutionary computation has applications in optimisation when...
Unnecessary growth in program size is known as bloat problem in Genetic Programming. There are a lar...
Genetic Programming is an evolutionary computation technique which searches for those computer progr...
Abstract. Most of the Evolutionary Algorithms handling variable-sized structures, like Genetic Progr...
International audienceMost of the Evolutionary Algorithms handling variable-sized structures, like G...
Size fair and homologous crossover genetic operators for tree based genetic programming are describe...
Size fair and homologous crossover genetic operators for tree based genetic programming are describe...
International audienceWe introduce a new recombination operator, the Maximum Homologous Crossover fo...
In various nuances of evolutionary algorithms it has been observed that variable sized genomes exhib...
We investigate structural and semantic distance metrics for linear genetic programs. Causal connecti...
International audienceInitially, Artificial Evolution focuses on Evolutionary Algorithms handling so...
Size fair crossover genetic operator for tree based genetic programming is described and tested. It ...
The parsimony pressure method is perhaps the simplest and most frequently used method to control blo...
Evolutionary Algorithms (EA) are search methods working iteratively on a population of potential sol...
The use of variable-length genomes in evolutionary computation has applications in optimisation when...
The use of variable-length genomes in evolutionary computation has applications in optimisation when...
Unnecessary growth in program size is known as bloat problem in Genetic Programming. There are a lar...
Genetic Programming is an evolutionary computation technique which searches for those computer progr...
Abstract. Most of the Evolutionary Algorithms handling variable-sized structures, like Genetic Progr...
International audienceMost of the Evolutionary Algorithms handling variable-sized structures, like G...
Size fair and homologous crossover genetic operators for tree based genetic programming are describe...
Size fair and homologous crossover genetic operators for tree based genetic programming are describe...
International audienceWe introduce a new recombination operator, the Maximum Homologous Crossover fo...
In various nuances of evolutionary algorithms it has been observed that variable sized genomes exhib...
We investigate structural and semantic distance metrics for linear genetic programs. Causal connecti...
International audienceInitially, Artificial Evolution focuses on Evolutionary Algorithms handling so...
Size fair crossover genetic operator for tree based genetic programming is described and tested. It ...
The parsimony pressure method is perhaps the simplest and most frequently used method to control blo...
Evolutionary Algorithms (EA) are search methods working iteratively on a population of potential sol...
The use of variable-length genomes in evolutionary computation has applications in optimisation when...
The use of variable-length genomes in evolutionary computation has applications in optimisation when...
Unnecessary growth in program size is known as bloat problem in Genetic Programming. There are a lar...
Genetic Programming is an evolutionary computation technique which searches for those computer progr...