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FOGA
1990
14 years 11 months ago
A Hierarchical Approach to Learning the Boolean Multiplexer Function
This paper describes the recently developed genetic programming paradigm which genetically breeds populations of computer programs to solve problems. In genetic programming, the i...
John R. Koza
FOGA
2007
14 years 11 months ago
Neighborhood Graphs and Symmetric Genetic Operators
In the case where the search space has a group structure, classical genetic operators (mutation and two-parent crossover) which respect the group action are completely characterize...
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
FOGA
1998
14 years 11 months ago
Schemata as Building Blocks: Does Size Matter?
We analyze the schema theorem and the building block hypothesis using a recently derived, exact schemata evolution equation. We derive a new schema theorem based on the concept of...
Christopher R. Stephens, Henri Waelbroeck, R. Agui...
78
Voted
FOGA
1996
14 years 11 months ago
Real Representations
This paper introduces two new representations for real-parameter spaces--the Dedekind and Isodedekind representations. Point mutation and uniform crossover--in their generalised, ...
Patrick D. Surry, Nicholas J. Radcliffe
FOGA
1994
14 years 11 months ago
Predictive Models Using Fitness Distributions of Genetic Operators
An important goal of the theory of genetic algorithms is to build predictive models of how well genetic algorithms are expected to perform, given a representation, a fitness lands...
John J. Grefenstette