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» Solving iterated functions using genetic programming
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107
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GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 9 months ago
Self-modifying cartesian genetic programming
In nature, systems with enormous numbers of components (i.e. cells) are evolved from a relatively small genotype. It has not yet been demonstrated that artificial evolution is su...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
148
Voted
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 7 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
169
Voted
IFIP
2001
Springer
15 years 8 months ago
Functional Test Generation using Constraint Logic Programming
— Semi-formal verification based on symbolic simulation offers a good compromise between formal model checking and numerical simulation. The generation of functional test vector...
Zhihong Zeng, Maciej J. Ciesielski, Bruno Rouzeyre
123
Voted
EUROGP
2007
Springer
129views Optimization» more  EUROGP 2007»
15 years 9 months ago
Genetic Programming Heuristics for Multiple Machine Scheduling
In this paper we present a method for creating scheduling heuristics for parallel proportional machine scheduling environment and arbitrary performance criteria. Genetic programmin...
Domagoj Jakobovic, Leonardo Jelenkovic, Leo Budin
EPIA
2009
Springer
15 years 10 months ago
Colored Nonograms: An Integer Linear Programming Approach
Abstract. In this paper we study colored nonogram solving using Integer Linear Programming. Our approach generalizes the one used by Robert A. Bosch which was developed for black a...
Luís Mingote, Francisco Azevedo