This work provides an introduction to the evolutionary algorithms and evolutionary design. It also describes disadvantages of direct encoding of a genotype to a phenotype and a method of nontrivial encoding which can solve these problems. We are particularly talking about the problems of the scalability of evolved solutions. We discuss a possible solution of described problem - a nontrivial genotype-phenotype mapping called development. This technique is demonstrated on an evolutionary design of a sequence of rewriting rules which is able to construct arbitrarily large sorting networks
Learning genetic representation has been shown to be a useful tool in evolutionary computation. It c...
Abstract- One of the applications of evolutionary algorithms is the automatic creation of designs. F...
Indirect encoding methods demand operators that minimize the disruption of conventional operators, w...
This work focuses on application of rewriting systems in the context of biology-inspired development...
. This paper examines the ways in which the encoding scheme that governs how phenotypes develop from...
The identification of mechanisms by which constraints on phenotypic variability are tuned in nature...
Since typical evolutionary design systems encode only a single artifact with each individual, each ...
The study uses a repetitive rule of geometric and arithmetical expression, cradle in the movement of...
In evolutionary computation it is common for the genotype to map directly to the phenotype such that...
The developmental mapping from genotype to phenotype is responsible for much of the evolvability (ad...
This paper discusses how the use of redundant representations influences the performance of genetic ...
This paper examines phenotype and genotype mappings that are biologically inspired. These types of c...
This paper presents a formal approach to the evolution of a representation for use in a design proce...
This paper explores the use of growth processes, or embryogenies, to map genotypes to phenotypes wit...
This thesis proposes a new representation for genetic algorithms, based on the idea of a genotype to...
Learning genetic representation has been shown to be a useful tool in evolutionary computation. It c...
Abstract- One of the applications of evolutionary algorithms is the automatic creation of designs. F...
Indirect encoding methods demand operators that minimize the disruption of conventional operators, w...
This work focuses on application of rewriting systems in the context of biology-inspired development...
. This paper examines the ways in which the encoding scheme that governs how phenotypes develop from...
The identification of mechanisms by which constraints on phenotypic variability are tuned in nature...
Since typical evolutionary design systems encode only a single artifact with each individual, each ...
The study uses a repetitive rule of geometric and arithmetical expression, cradle in the movement of...
In evolutionary computation it is common for the genotype to map directly to the phenotype such that...
The developmental mapping from genotype to phenotype is responsible for much of the evolvability (ad...
This paper discusses how the use of redundant representations influences the performance of genetic ...
This paper examines phenotype and genotype mappings that are biologically inspired. These types of c...
This paper presents a formal approach to the evolution of a representation for use in a design proce...
This paper explores the use of growth processes, or embryogenies, to map genotypes to phenotypes wit...
This thesis proposes a new representation for genetic algorithms, based on the idea of a genotype to...
Learning genetic representation has been shown to be a useful tool in evolutionary computation. It c...
Abstract- One of the applications of evolutionary algorithms is the automatic creation of designs. F...
Indirect encoding methods demand operators that minimize the disruption of conventional operators, w...