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EUROGP
1999
Springer
137views Optimization» more  EUROGP 1999»
9 years 5 months ago
Evolving Controllers for Autonomous Agents Using Genetically Programmed Networks
– This article presents a new approach to the evolution of controllers for autonomous agents. We propose the evolution of a connectionist structure where each node has an associa...
Arlindo Silva, Ana Neves, Ernesto Costa
EUROGP
1999
Springer
9 years 5 months ago
Genetic Programming as a Darwinian Invention Machine
Genetic programming is known to be capable of creating designs that satisfy prespecified high-level design requirements for analog electrical circuits and other complex structures...
John R. Koza, Forrest H. Bennett III, Oscar Stiffe...
IUI
2000
ACM
9 years 5 months ago
Enhancing information retrieval by automatic acquisition of textual relations using genetic programming
We have explored a novel method to find textual relations in electronic documents using genetic programming and semantic networks. This can be used for enhancing information retri...
Agneta Bergström, Patricija Jaksetic, Peter N...
COMPSAC
2000
IEEE
9 years 5 months ago
GAPS: A Genetic Programming System
Genetic programming tackles the issue of how to automatically create a working computer program for a given problem from some initial problem statement. The goal is accomplished i...
Michael D. Kramer, Du Zhang
EUROGP
2001
Springer
105views Optimization» more  EUROGP 2001»
9 years 5 months ago
Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...
Jeroen Eggermont, Jano I. van Hemert
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
9 years 6 months ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
9 years 6 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
9 years 6 months ago
Variable size population for dynamic optimization with genetic programming
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
Leonardo Vanneschi, Giuseppe Cuccu
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
9 years 6 months ago
Evolving distributed algorithms with genetic programming: election
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make...
Thomas Weise, Michael Zapf
GECCO
2003
Springer
9 years 6 months ago
Methods for Evolving Robust Programs
Many evolutionary computation search spaces require fitness assessment through the sampling of and generalization over a large set of possible cases as input. Such spaces seem par...
Liviu Panait, Sean Luke
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