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CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 7 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
14 years 1 months ago
A multiple objective evolutionary algorithm for multiple sequence alignment
The problem of multiple sequence alignment is important for bioinformatics. This problem is widely studied and a popular tool to solve this problem is Clustal X. This work introdu...
Pasut Seeluangsawat, Prabhas Chongstitvatana
EC
2000
187views ECommerce» more  EC 2000»
13 years 7 months ago
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele
EUROGP
2003
Springer
101views Optimization» more  EUROGP 2003»
14 years 21 days ago
An Enhanced Framework for Microprocessor Test-Program Generation
Test programs are fragment of code, but, unlike ordinary application programs, they are not intended to solve a problem, nor to calculate a function. Instead, they are supposed to ...
Fulvio Corno, Giovanni Squillero
BMCBI
2005
118views more  BMCBI 2005»
13 years 7 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken