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GECCO
2000
Springer
133views Optimization» more  GECCO 2000»
13 years 11 months ago
Hybrid Differential Evolution for Dynamic Optimization of a Fedbatch Bioreactor Process
A hybrid method of evolutionary algorithms is introduced in this study. The hybrid method includes two additional operations, acceleration and migrating operations. These two oper...
Feng-Sheng Wang
CDC
2009
IEEE
189views Control Systems» more  CDC 2009»
14 years 20 days ago
Maximizing aggregated revenue in sensor networks under deadline constraints
Abstract— We study the problem of maximizing the aggregated revenue in sensor networks with deadline constraints. Our model is that of a sensor network that is arranged in the fo...
Srikanth Hariharan, Ness B. Shroff
ISLPED
2009
ACM
184views Hardware» more  ISLPED 2009»
14 years 2 months ago
Online work maximization under a peak temperature constraint
Increasing power densities and the high cost of low thermal resistance packages and cooling solutions make it impractical to design processors for worst-case temperature scenarios...
Thidapat Chantem, Xiaobo Sharon Hu, Robert P. Dick
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
13 years 9 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
CPAIOR
2004
Springer
14 years 1 months ago
Super Solutions in Constraint Programming
To improve solution robustness, we introduce the concept of super solutions to constraint programming. An (a, b)-super solution is one in which if a variables lose their values, th...
Emmanuel Hebrard, Brahim Hnich, Toby Walsh