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GECCO
1999
Springer
13 years 11 months ago
Large Populations Are Not Always The Best Choice In Genetic Programming
In genetic programming a general consensus is that the population should be as large as practically possible or sensible. In this paper we examine a batch of problems of combinato...
Matthias Fuchs
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
GPEM
2006
97views more  GPEM 2006»
13 years 7 months ago
Evolving recursive programs by using adaptive grammar based genetic programming
Genetic programming (GP) extends traditional genetic algorithms to automatically induce computer programs. GP has been applied in a wide range of applications such as software ree...
Man Wong
ICAI
2004
13 years 9 months ago
Genetic Programming Reconsidered
Even though the Genetic Programming (GP) mechanism is capable of evolving any computable function, the means through which it does so is inherently flawed: the user must provide th...
Russ Abbott, Behzad Parviz, Chengyu Sun
ICALP
2004
Springer
14 years 28 days ago
Representing Nested Inductive Types Using W-Types
We show that strictly positive inductive types, constructed from polynomial functors, constant exponentiation and arbitrarily nested inductive types exist in any Martin-L¨of categ...
Michael Abbott, Thorsten Altenkirch, Neil Ghani