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» Algebraic simplification of GP programs during evolution
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GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
13 years 10 months ago
Evolving stochastic processes using feature tests and genetic programming
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Brian J. Ross, Janine H. Imada
EUROGP
2009
Springer
125views Optimization» more  EUROGP 2009»
13 years 12 months ago
The Role of Population Size in Rate of Evolution in Genetic Programming
Abstract. Population size is a critical parameter that affects the performance of an Evolutionary Computation model. A variable population size scheme is considered potentially be...
Ting Hu, Wolfgang Banzhaf
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
13 years 10 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
ITSSA
2006
116views more  ITSSA 2006»
13 years 5 months ago
A Genetic Programming Approach to Automated Test Generation for Object-Oriented Software
: This article proposes a new method for creating test software for object-oriented systems using a genetic programming approach. It is believed that this approach is advantageous ...
Arjan Seesing, Hans-Gerhard Groß
FBIT
2007
IEEE
13 years 11 months ago
Developmental Evaluation in Genetic Programming: A Position Paper
—Standard genetic programming genotypes are generally highly disorganized and poorly structured, with little code replication. This is also true of existing developmental genetic...
Tuan Hao Hoang, Robert I. McKay, Daryl Essam, Nguy...