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139
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IPPS
2007
IEEE
15 years 9 months ago
Time Series Forecasting by means of Evolutionary Algorithms
Many physical and artificial phenomena can be described by time series. The prediction of such phenomenon could be as complex as interesting. There are many time series forecasti...
Cristóbal Luque del Arco-Calderón, J...
138
Voted
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 9 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
PPSN
2004
Springer
15 years 8 months ago
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
130
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SC
2000
ACM
15 years 7 months ago
Landing CG on EARTH: A Case Study of Fine-Grained Multithreading on an Evolutionary Path
We report on our work in developing a fine-grained multithreaded solution for the communicationintensive Conjugate Gradient (CG) problem. In our recent work, we developed a simpl...
Kevin B. Theobald, Gagan Agrawal, Rishi Kumar, Ger...
165
Voted
EPS
1995
Springer
15 years 7 months ago
PANIC: A Parallel Evolutionary Rule Based System
PANIC (Parallelism And Neural networks In Classifier systems) is a parallel system to evolve behavioral strategies codified by sets of rules. It integrates several adaptive techni...
Antonella Giani, Fabrizio Baiardi, Antonina Starit...