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GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
16 years 12 days ago
Genetic programming: parametric analysis of structure altering mutation techniques
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
Alan Piszcz, Terence Soule
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
16 years 12 days ago
Towards an empirical measure of evolvability
Genetic representations that do not employ a one-to-one mapping of genotype to phenotype are known as indirect encodings, and can be much more efficient than direct encodings for ...
Joseph Reisinger, Kenneth O. Stanley, Risto Miikku...
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
16 years 12 days ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
16 years 12 days ago
Validation of evolutionary activity metrics for long-term evolutionary dynamics
As artificial life systems grow in number and sophistication, it is becoming increasingly important that the field agree on principled metrics for evaluating them. This report d...
Andrew Stout, Lee Spector
GREC
2005
Springer
16 years 12 days ago
Adaptive Noise Reduction for Engineering Drawings Based on Primitives and Noise Assessment
In this paper, a novel, adaptive noise reduction method for engineering drawings is proposed based on assessment of both primitives and noise. Unlike the current approaches, our m...
Jing Zhang, Wan Zhang, Liu Wenyin
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