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ICAI
2004
15 years 1 months ago
Genetic Programming Reconsidered
Even though the Genetic Programming (GP) mechanism is capable of evolving any computable function, the means through which it does so is inherently flawed: the user must provide th...
Russ Abbott, Behzad Parviz, Chengyu Sun
EUROGP
1999
Springer
137views Optimization» more  EUROGP 1999»
15 years 4 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
GECCO
2004
Springer
15 years 5 months ago
Multi-branches Genetic Programming as a Tool for Function Approximation
This work presents a performance analysis of a Multi-Branches Genetic Programming (MBGP) approach applied in symbolic regression (e.g. function approximation) problems. Genetic Pro...
Katya Rodríguez-Vázquez, Carlos Oliv...
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GECCO
2004
Springer
15 years 5 months ago
Fitness Clouds and Problem Hardness in Genetic Programming
This paper presents an investigation of genetic programming fitness landscapes. We propose a new indicator of problem hardness for tree-based genetic programming, called negative ...
Leonardo Vanneschi, Manuel Clergue, Philippe Colla...
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
15 years 5 months ago
Multi-agent Foreign Exchange Market Modelling Via GP
In this work genetic programming is used to express and evolve trading strategies for a foreign exchange currency market simulator.
Stephen Dignum, Riccardo Poli