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» Evolutionary Computation for Modeling and Optimization
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CORR
2002
Springer
111views Education» more  CORR 2002»
15 years 6 months ago
Increasing Evolvability Considered as a Large-Scale Trend in Evolution
Evolvability is the capacity to evolve. This paper introduces a simple computational model of evolvability and demonstrates that, under certain conditions, evolvability can increa...
Peter D. Turney
GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
15 years 11 months ago
Adaptive strategy selection in differential evolution
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Wenyin Gong, Álvaro Fialho, Zhihua Cai
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 11 months ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo
EUROGP
2010
Springer
217views Optimization» more  EUROGP 2010»
16 years 27 days ago
Evolving Genes to Balance a Pole
We discuss how to use a Genetic Regulatory Network as an evolutionary representation to solve a typical GP reinforcement problem, the pole balancing. The network is a modified ver...
Miguel Nicolau, Marc Schoenauer, Wolfgang Banzhaf
ESANN
2004
15 years 7 months ago
Dynamic functional-link neural networks genetically evolved applied to system identification
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
Teodor Marcu, Birgit Köppen-Seliger