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» Solving iterated functions using genetic programming
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150
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GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
15 years 7 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
118
Voted
GECCO
2000
Springer
178views Optimization» more  GECCO 2000»
15 years 7 months ago
Fitness Sharing in Genetic Programming
This paper investigates fitness sharing in genetic programming. Implicit fitness sharing is applied to populations of programs. Three treatments are compared: raw fitness, pure fi...
Robert I. McKay
151
Voted
OL
2007
133views more  OL 2007»
15 years 3 months ago
An SQP-type algorithm for nonlinear second-order cone programs
We propose an SQP-type algorithm for solving nonlinear second-order cone programming (NSOCP) problems. At every iteration, the algorithm solves a convex SOCP subproblem in which th...
Hirokazu Kato, Masao Fukushima
172
Voted
PRL
2002
213views more  PRL 2002»
15 years 3 months ago
Character preclassification based on genetic programming
This paper presents a learning system that uses genetic programming as a tool for automatically inferring the set of classification rules to be used during a preclassification sta...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...
CEC
2005
IEEE
15 years 9 months ago
Constraint quadratic approximation operator for treating equality constraints with genetic algorithms
Abstract- This paper presents a new operator for genetic algorithms that enhances their convergence in the case of nonlinear problems with nonlinear equality constraints. The propo...
Elizabeth F. Wanner, Frederico G. Guimarães...