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GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
15 years 11 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
16 years 6 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
ICCAD
2002
IEEE
124views Hardware» more  ICCAD 2002»
16 years 3 months ago
Symbolic pointer analysis
— One of the bottlenecks in the recent movement of hardware synthesis from behavioral C programs is the difficulty in reasoning about runtime pointer values at compile time. The...
Jianwen Zhu
177
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GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
16 years 1 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
PLDI
2003
ACM
15 years 11 months ago
A compiler framework for speculative analysis and optimizations
Speculative execution, such as control speculation and data speculation, is an effective way to improve program performance. Using edge/path profile information or simple heuristi...
Jin Lin, Tong Chen, Wei-Chung Hsu, Pen-Chung Yew, ...