Understanding how genotypes map onto phenotypes, fitness, and eventually organisms is
arguably the next major missing piece in a fully predictive theory of evolution. We refer to this …

Bloat is an excess of code growth without a corresponding improvement in fitness. This is a
serious problem in Genetic Programming, often leading to the stagnation of the evolutionary …

The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …

The field of evolutionary computation is expanding dramatically, fueled by the vast
investment that reflects the value of applying its techniques. Culling material from the …

Genetic programming (GP), one of the most advanced forms of evolutionary computation,
has been highly successful as a technique for getting computers to automatically solve …

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications
discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic …

The graph-based Cartesian genetic programming system has an unusual genotype
representation with a number of advantageous properties. It has a form of redundancy …

Evolutionary Computation (EC) holds great promise for computer science today. After an
early start in the 1950s, it was pursued by a handful of scientists until it took off as a rapidly …

Adaptation is a primary property of living systems which may take place at many levels. In
even the simplest living things, adaptation acts on a small time scale through the reaction of …

The goal of having computers automatically solve problems is central to artificial
intelligence, machine learning, and the broad area encompassed by what Turing called …