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» Evolving heuristics with genetic programming
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EUROGP
2007
Springer
175views Optimization» more  EUROGP 2007»
14 years 4 months ago
Fast Genetic Programming on GPUs
As is typical in evolutionary algorithms, fitness evaluation in GP takes the majority of the computational effort. In this paper we demonstrate the use of the Graphics Processing...
Simon Harding, Wolfgang Banzhaf
EUROGP
2005
Springer
117views Optimization» more  EUROGP 2005»
14 years 3 months ago
Extending Particle Swarm Optimisation via Genetic Programming
Abstract. Particle Swarm Optimisers (PSOs) search using a set of interacting particles flying over the fitness landscape. These are typically controlled by forces that encourage ...
Riccardo Poli, William B. Langdon, Owen Holland
EVOW
2008
Springer
13 years 11 months ago
Genetic Programming in Statistical Arbitrage
Abstract. This paper employs genetic programming to discover statistical arbitrage strategies on the banking sector in the Euro Stoxx universe. Binary decision rules are evolved us...
Philip Saks, Dietmar G. Maringer
GECCO
1999
Springer
106views Optimization» more  GECCO 1999»
14 years 2 months ago
Generating Lemmas for Tableau-based Proof Search Using Genetic Programming
Top-down or analytical provers based on the connection tableau calculus are rather powerful, yet have notable shortcomings regarding redundancy control. A well-known and successfu...
Marc Fuchs, Dirk Fuchs, Matthias Fuchs
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
14 years 1 months ago
Controlling Effective Introns for Multi-Agent Learning by Genetic Programming
This paper presents the emergence of the cooperative behavior for multiple agents by means of Genetic Programming (GP). For the purpose of evolving the effective cooperative behav...
Hitoshi Iba, Makoto Terao