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NCA
2007
IEEE
15 years 5 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
CEC
2008
IEEE
16 years 25 days ago
Crossover operators to control size growth in linear GP and variable length GAs
— In various nuances of evolutionary algorithms it has been observed that variable sized genomes exhibit large degrees of redundancy and corresponding undue growth. This phenomen...
Dominique Chu, Jonathan E. Rowe
CEC
2007
IEEE
16 years 21 days ago
A co-evolutionary framework for regulatory motif discovery
Abstract— In previous work, we have shown how an evolutionary algorithm with a clustered population can be used to concurrently discover multiple regulatory motifs present within...
Michael A. Lones, Andy M. Tyrrell
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
16 years 15 days ago
ACO vs EAs for solving a real-world frequency assignment problem in GSM networks
Frequency planning is a very important task for current GSM operators. In this work we present a new mathematical formulation of the problem in which the frequency plans are evalu...
Francisco Luna, Christian Blum, Enrique Alba, Anto...
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
15 years 12 months ago
Identifying valid solutions for the inference of regulatory networks
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. The problem often is multi-modal and therefore appropriate optimi...
Christian Spieth, Felix Streichert, Nora Speer, An...