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GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
13 years 11 months ago
Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
L. Darrell Whitley, Marc D. Richards, J. Ross Beve...
CEC
2008
IEEE
14 years 2 months ago
Geometric PSO + GP = Particle Swarm Programming
—Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both conti...
Julian Togelius, Renzo De Nardi, Alberto Moraglio
EUROGP
2006
Springer
140views Optimization» more  EUROGP 2006»
13 years 11 months ago
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks
We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
André Leier, P. Dwight Kuo, Wolfgang Banzha...
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 8 months ago
Subheuristic search and scalability in a hyperheuristic
Our previous work has introduced a hyperheuristic (HH) approach based on Genetic Programming (GP). There, GP employs usergiven languages where domain-specific local heuristics ar...
Robert E. Keller, Riccardo Poli