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» Optimizing for Reduced Code Space using Genetic Algorithms
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EH
2005
IEEE
119views Hardware» more  EH 2005»
15 years 7 months ago
Evolutionary Computation Technologies for the Automated Design of Space Systems
The Evolvable Computation Group, at NASA’s Jet Propulsion Laboratory, is tasked with demonstrating the utility of computational engineering and computer optimized design for com...
Richard Terrile, Hrand Aghazarian, Michael I. Ferg...
EUROGP
2010
Springer
172views Optimization» more  EUROGP 2010»
15 years 5 months ago
Geometric Differential Evolution on the Space of Genetic Programs
Abstract. Geometric Differential Evolution (GDE) is a very recently introduced formal generalization of traditional Differential Evolution (DE) that can be used to derive specific ...
Alberto Moraglio, Sara Silva
GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
15 years 2 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
TEC
2008
100views more  TEC 2008»
15 years 1 months ago
Real-Valued Compact Genetic Algorithms for Embedded Microcontroller Optimization
Recent research on compact genetic algorithms (cGAs) has proposed a number of evolutionary search methods with reduced memory requirements. In cGAs, the evolution of populations is...
Ernesto Mininno, Francesco Cupertino, David Naso
94
Voted
JSW
2006
78views more  JSW 2006»
15 years 1 months ago
Hybrid Genetic Algorithm for Design of Robust Communication Systems
A novel hybrid genetic algorithm (GA) for jointly optimizing source and channel codes is presented in this paper. The algorithm first uses GA for the coarse search of source and ch...
Chien-Min Ou, Jing-Jhih Chen, Wen-Jyi Hwang