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» Efficiently evolving programs through the search for novelty
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 1 months ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon
ICTAI
2010
IEEE
13 years 5 months ago
Continuous Search in Constraint Programming
This work presents the concept of Continuous Search (CS), which objective is to allow any user to eventually get their constraint solver achieving a top performance on their proble...
Alejandro Arbelaez, Youssef Hamadi, Michèle...
ICML
2008
IEEE
14 years 8 months ago
Fast estimation of first-order clause coverage through randomization and maximum likelihood
In inductive logic programming, subsumption is a widely used coverage test. Unfortunately, testing -subsumption is NP-complete, which represents a crucial efficiency bottleneck fo...
Filip Zelezný, Ondrej Kuzelka
GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
13 years 11 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding
EPS
1997
Springer
13 years 11 months ago
Performance-Enhanced Genetic Programming
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms. However, the technique has to date only been successfully applied to modest t...
Chris Clack, Tina Yu