Add to ORKGAbstract. Developmental Genetic Programming (DGP) algorithms have been introduced where the search space for a problem is divided into genotypes and corresponding phenotypes that are connected by a mapping (or “genetic code”). Current implementations of this concept involve evolution of the mappings in addition to the traditional evolution of genotypes. We introduce the latest version of Probabilistic Adaptive Mapping DGP (PAM DGP), a robust and highly customizable algorithm that overcomes performance problems identified for the latest competing adaptive mapping algorithm. PAM DGP is then shown to outperform the competing algorithm on two non-trivial regression benchmarks.
The main aim of landscape analysis has been to quantify the ‘hardness ’ of problems. Early steps hav...
Abstract- This paper introduces a coevolutionary approach to genetic algorithms (GAs) for exploring ...
We present an analysis of the genotype-phenotype map in Grammatical Evolution (GE). The standard map...
In most Genetic Programming (GP) approaches, the space of genotypes, that is the search space, is ...
Recently, there has been an increasing interest in applying genetic algorithms (GAs) in dynamic envi...
Recently, there has been an increasing interest in applying genetic algorithms (GAs) in dynamic envi...
Cartesian genetic programming (CGP) is a form of genetic programming where candidate programs are re...
using a new ontogenic approach, called Staged Developmental Genetic Programming (SDGP), for solving ...
Genetic Programming (“GP”) is a machine learning algorithm. Typically, Genetic Programming is a supe...
This paper presents an Evolutionary Algorithm using a new ontogenic approach, called Staged Developm...
. We propose the application of a genotype-phenotype mapping to the solution of constrained optimiza...
In nature, living organisms can be viewed as the product of their genotype-phenotype mapping (GP-map...
This paper investigates the evolution of two types of simple Genotype Phenotype Mappings (GPMs): a m...
This paper presents an Evolutionary Algorithm using a new ontogenic approach, called Staged Developm...
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic envir...
The main aim of landscape analysis has been to quantify the ‘hardness ’ of problems. Early steps hav...
Abstract- This paper introduces a coevolutionary approach to genetic algorithms (GAs) for exploring ...
We present an analysis of the genotype-phenotype map in Grammatical Evolution (GE). The standard map...
In most Genetic Programming (GP) approaches, the space of genotypes, that is the search space, is ...
Recently, there has been an increasing interest in applying genetic algorithms (GAs) in dynamic envi...
Recently, there has been an increasing interest in applying genetic algorithms (GAs) in dynamic envi...
Cartesian genetic programming (CGP) is a form of genetic programming where candidate programs are re...
using a new ontogenic approach, called Staged Developmental Genetic Programming (SDGP), for solving ...
Genetic Programming (“GP”) is a machine learning algorithm. Typically, Genetic Programming is a supe...
This paper presents an Evolutionary Algorithm using a new ontogenic approach, called Staged Developm...
. We propose the application of a genotype-phenotype mapping to the solution of constrained optimiza...
In nature, living organisms can be viewed as the product of their genotype-phenotype mapping (GP-map...
This paper investigates the evolution of two types of simple Genotype Phenotype Mappings (GPMs): a m...
This paper presents an Evolutionary Algorithm using a new ontogenic approach, called Staged Developm...
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic envir...
The main aim of landscape analysis has been to quantify the ‘hardness ’ of problems. Early steps hav...
Abstract- This paper introduces a coevolutionary approach to genetic algorithms (GAs) for exploring ...
We present an analysis of the genotype-phenotype map in Grammatical Evolution (GE). The standard map...