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GPEM
2006
161views more  GPEM 2006»
13 years 7 months ago
Solving differential equations with genetic programming
A novel method for solving ordinary and partial differential equations, based on grammatical evolution is presented. The method forms generations of trial solutions expressed in an...
Ioannis G. Tsoulos, Isaac E. Lagaris
ISMB
1996
13 years 9 months ago
The Mathematical Model of Subtractive Hybridization and Its Practical Application
A novel theory of subtractive hybridization including (or based on) the kinetic model of this process was proposed. A computer program modeling the process of subtraction wasdevel...
Olga D. Ermolaeva, Sergey A. Lukyanov, Eugene D. S...
ICML
1998
IEEE
14 years 8 months ago
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...
Ricardo Aler, Daniel Borrajo, Pedro Isasi
GECCO
1999
Springer
106views Optimization» more  GECCO 1999»
13 years 12 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
EUROGP
2007
Springer
143views Optimization» more  EUROGP 2007»
13 years 11 months ago
Confidence Intervals for Computational Effort Comparisons
Abstract. When researchers make alterations to the genetic programming algorithm they almost invariably wish to measure the change in performance of the evolutionary system. No one...
Matthew Walker, Howard Edwards, Chris H. Messom