Abstract. Biological organisms employ various mechanisms to cope with the dynamic environments they live in. One recent research re-ported that depending on the rates of environmental variation, popu-lations evolve toward genotypes in different regions of the neutral net-works to adapt to the changes. Inspired by that work, we used a genetic programming system to study the evolution of computer programs un-der environmental variation. Similar to biological evolution, the genetic programming populations exploit neutrality to cope with environmen-tal fluctuations and evolve evolvability. We hope this work sheds new light on the design of open-ended evolutionary systems which are able to provide consistent evolvability under variable condition...
Genetic programming is a promising variant of genetic algorithms that evolves dynamic, hierarchical ...
This paper describes the use of evolutionary software techniques for developing both genetic algorit...
This chapter presents an introduction of evolutionary and other nature-inspired computation. The mos...
Evolutionary computation systems exhibit various emergent phenomena, primary of which is adaptation....
The recently developed genetic programming paradigm provides a way to genetically breed a computer p...
peer-reviewedCharles Darwin introduced the theory of evolution by natural selection in [Darwin and ...
Evolution is an inherently dynamic process. The environment that a population is interacting with ne...
Evolvability is the capacity of a genotype to rapidly adjust to certain types of environmental chall...
Living organisms are consummate problem solvers. They exhibit a versatility that puts the best compu...
This paper shows how ontogenetic programming, an enhancement to the genetic programming methodology,...
We investigate in detail what happens as genetic programming (GP) populations evolve. Since we shall...
Evolvability has emerged as a research topic in both natural and computational evolution. It is a no...
This paper describes the recently developed "genetic programming " paradigm which genetica...
The central goal of this thesis is to provide additional criteria towards implementing open-ended ev...
Over the last years, the effects of neutrality have attracted the attention of many researchers in t...
Genetic programming is a promising variant of genetic algorithms that evolves dynamic, hierarchical ...
This paper describes the use of evolutionary software techniques for developing both genetic algorit...
This chapter presents an introduction of evolutionary and other nature-inspired computation. The mos...
Evolutionary computation systems exhibit various emergent phenomena, primary of which is adaptation....
The recently developed genetic programming paradigm provides a way to genetically breed a computer p...
peer-reviewedCharles Darwin introduced the theory of evolution by natural selection in [Darwin and ...
Evolution is an inherently dynamic process. The environment that a population is interacting with ne...
Evolvability is the capacity of a genotype to rapidly adjust to certain types of environmental chall...
Living organisms are consummate problem solvers. They exhibit a versatility that puts the best compu...
This paper shows how ontogenetic programming, an enhancement to the genetic programming methodology,...
We investigate in detail what happens as genetic programming (GP) populations evolve. Since we shall...
Evolvability has emerged as a research topic in both natural and computational evolution. It is a no...
This paper describes the recently developed "genetic programming " paradigm which genetica...
The central goal of this thesis is to provide additional criteria towards implementing open-ended ev...
Over the last years, the effects of neutrality have attracted the attention of many researchers in t...
Genetic programming is a promising variant of genetic algorithms that evolves dynamic, hierarchical ...
This paper describes the use of evolutionary software techniques for developing both genetic algorit...
This chapter presents an introduction of evolutionary and other nature-inspired computation. The mos...