Add to ORKGIn this article, we review the state-of-the-art results in evolutionary computation and observe that we do not evolve nontrivial software from scratch and with no human intervention. A number of possible explanations are considered, but we conclude that computational complexity of the problem prevents it from being solved as currently attempted. A detailed analysis of necessary and available computational resources is provided to support our findings
Automatic Programming has long been a sub-goal of Artificial Intelligence (AI). It is feasible in li...
Extent: 13p.During the past 35 years the evolutionary computation research community has been studyi...
You may have heard of evolution in terms of plants and animals, but did you know that this natural p...
In this article, we review the state-of-the-art results in evolutionary computation and observe that...
Evolutionary Computation (EC) has been an active research area for over 60 years, yet its commercial...
Living organisms are consummate problem solvers. They exhibit a versatility that puts the best compu...
At the Workshop on Evolutionary Algorithms, organized by the Institute for Mathematics and Its Appli...
Evolution has provided a source of inspiration for algorithm designers since the birth of computers....
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright...
Neo-Darwinism can be usefully studied with the help of a Computerised Genetic Algorithm. Only a math...
Even the most seasoned students of evolution, starting with Darwin himself, have occasionally expres...
Abstract The biological domain holds interesting keys to the theorists who investigate the root caus...
Inspired by Darwin’s ideas, Turing (1948) proposed an evolutionary search as an automated problem so...
This paper investigates the relations between biological evolution and computer simulations of evolv...
In Darwin’s Dangerous Idea, Daniel Dennett claims that evolution is algorithmic. On Dennett’s analys...
Automatic Programming has long been a sub-goal of Artificial Intelligence (AI). It is feasible in li...
Extent: 13p.During the past 35 years the evolutionary computation research community has been studyi...
You may have heard of evolution in terms of plants and animals, but did you know that this natural p...
In this article, we review the state-of-the-art results in evolutionary computation and observe that...
Evolutionary Computation (EC) has been an active research area for over 60 years, yet its commercial...
Living organisms are consummate problem solvers. They exhibit a versatility that puts the best compu...
At the Workshop on Evolutionary Algorithms, organized by the Institute for Mathematics and Its Appli...
Evolution has provided a source of inspiration for algorithm designers since the birth of computers....
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright...
Neo-Darwinism can be usefully studied with the help of a Computerised Genetic Algorithm. Only a math...
Even the most seasoned students of evolution, starting with Darwin himself, have occasionally expres...
Abstract The biological domain holds interesting keys to the theorists who investigate the root caus...
Inspired by Darwin’s ideas, Turing (1948) proposed an evolutionary search as an automated problem so...
This paper investigates the relations between biological evolution and computer simulations of evolv...
In Darwin’s Dangerous Idea, Daniel Dennett claims that evolution is algorithmic. On Dennett’s analys...
Automatic Programming has long been a sub-goal of Artificial Intelligence (AI). It is feasible in li...
Extent: 13p.During the past 35 years the evolutionary computation research community has been studyi...
You may have heard of evolution in terms of plants and animals, but did you know that this natural p...