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ISCI
2008
159views more  ISCI 2008»
15 years 4 months ago
Large scale evolutionary optimization using cooperative coevolution
Evolutionary algorithms (EAs) have been applied with success to many numerical and combinatorial optimization problems in recent years. However, they often lose their effectivenes...
Zhenyu Yang, Ke Tang, Xin Yao
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 8 months ago
Towards estimating nadir objective vector using evolutionary approaches
Nadir point plays an important role in multi-objective optimization because of its importance in estimating the range of objective values corresponding to desired Pareto-optimal s...
Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen
ICDCS
2010
IEEE
15 years 8 months ago
Stochastic Steepest-Descent Optimization of Multiple-Objective Mobile Sensor Coverage
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
BMCBI
2006
127views more  BMCBI 2006»
15 years 4 months ago
Improvement in the Reproducibility and Accuracy of DNA Microarray Quantification by Optimizing Hybridization Conditions
Background: DNA microarrays, which have been increasingly used to monitor mRNA transcripts at a global level, can provide detailed insight into cellular processes involved in resp...
Tao Han, Cathy D. Melvin, Leming M. Shi, William S...
IEEEPACT
2007
IEEE
15 years 10 months ago
Performance Portable Optimizations for Loops Containing Communication Operations
Effective use of communication networks is critical to the performance and scalability of parallel applications. Partitioned Global Address Space languages like UPC bring the pro...
Costin Iancu, Wei Chen, Katherine A. Yelick