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136
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CEC
2010
IEEE
15 years 5 months ago
A parallel framework for multi-objective evolutionary optimization
This work focuses on the development of a parallel framework method to improve the effectiveness and the efficiency of the obtained solutions by Multi-objective Evolutionary Algori...
Dipankar Dasgupta, David Camilo Becerra Romero, Al...
150
Voted
FUIN
2002
132views more  FUIN 2002»
15 years 4 months ago
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
Grzegorz Góra, Arkadiusz Wojna
137
Voted
DAC
2005
ACM
16 years 5 months ago
Simulation based deadlock analysis for system level designs
In the design of highly complex, heterogeneous, and concurrent systems, deadlock detection and resolution remains an important issue. In this paper, we systematically analyze the ...
Xi Chen, Abhijit Davare, Harry Hsieh, Alberto L. S...
ISNN
2005
Springer
15 years 10 months ago
Select the Size of Training Set for Financial Forecasting with Neural Networks
Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
Wei Huang, Yoshiteru Nakamori, Shouyang Wang, Hui ...
ICSE
2008
IEEE-ACM
16 years 4 months ago
Celadon: a change impact analysis tool for aspect-oriented programs
To reduce the manual effort of assessing potential affected program parts during software evolution, we develop a tool, called Celadon, which automates the change impact analysis ...
Sai Zhang, Zhongxian Gu, Yu Lin, Jianjun Zhao