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GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
15 years 4 months ago
Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
L. Darrell Whitley, Marc D. Richards, J. Ross Beve...
106
Voted
DATE
2003
IEEE
115views Hardware» more  DATE 2003»
15 years 6 months ago
Control Flow Driven Splitting of Loop Nests at the Source Code Level
This paper presents a novel source code transformation for control flow optimizationcalled loop nest splitting which minimizes the number of executed if-statements in loop nests ...
Heiko Falk, Peter Marwedel
83
Voted
GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
15 years 4 months ago
Genetic algorithms to optimise the time to make stock market investment
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...
EMO
2006
Springer
120views Optimization» more  EMO 2006»
15 years 2 months ago
Rule Induction for Classification Using Multi-objective Genetic Programming
Multi-objective metaheuristics have previously been applied to partial classification, where the objective is to produce simple, easy to understand rules that describe subsets of a...
Alan P. Reynolds, Beatriz de la Iglesia
EUROGP
2001
Springer
110views Optimization» more  EUROGP 2001»
15 years 5 months ago
General Schema Theory for Genetic Programming with Subtree-Swapping Crossover
Abstract. In this paper a new, general and exact schema theory for genetic programming is presented. The theory includes a microscopic schema theorem applicable to crossover operat...
Riccardo Poli