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» Generalized crowding for genetic algorithms
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GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 3 months ago
Fractional dynamic fitness functions for GA-based circuit design
This paper proposes and analyses the performance of a Genetic Algorithm (GA) using two new concepts, namely a static fitness function including a discontinuity measure and a fract...
Cecília Reis, José António Te...
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 3 months ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...
GECCO
2005
Springer
182views Optimization» more  GECCO 2005»
15 years 3 months ago
Improving EAX with restricted 2-opt
Edge Assembly Crossover (EAX) is by far the most successful crossover operator in solving the traveling salesman problem (TSP) with Genetic Algorithms (GAs). Various improvements ...
Chen-hsiung Chan, Sheng-An Lee, Cheng-Yan Kao, Hua...
WWW
2004
ACM
15 years 10 months ago
Experiments with persian text compression for web
The increasing importance of Unicode for text encoding implies a possible doubling of data storage space and data transmission time, with a corresponding need for data compression...
Farhad Oroumchian, Ehsan Darrudi, Fattane Taghiyar...
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
15 years 1 months ago
Support vector regression for classifier prediction
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi