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GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 17 days ago
Variable size population for dynamic optimization with genetic programming
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
Leonardo Vanneschi, Giuseppe Cuccu
IPPS
1999
IEEE
14 years 7 days ago
Distributed Scheduling with Decomposed Optimization Criterion: Genetic Programming Approach
Abstract. A new approach to develop parallel and distributed scheduling algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of t...
Franciszek Seredynski, Jacek Koronacki, Cezary Z. ...
BMCBI
2011
13 years 3 months ago
Simulated evolution applied to study the genetic code optimality using a model of codon reassignments
Background: As the canonical code is not universal, different theories about its origin and organization have appeared. The optimization or level of adaptation of the canonical ge...
Jose Santos, Ángel Monteagudo
CORR
2008
Springer
70views Education» more  CORR 2008»
13 years 8 months ago
A Refined Difference Field Theory for Symbolic Summation
In this article we present a refined summation theory based on Karr's difference field approach. The resulting algorithms find sum representations with optimal nested depth. ...
Carsten Schneider
EUROGP
2008
Springer
137views Optimization» more  EUROGP 2008»
13 years 9 months ago
A Comparison of Cartesian Genetic Programming and Linear Genetic Programming
Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for construc...
Garnett Carl Wilson, Wolfgang Banzhaf