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» Single Run Optimization Using the Reverse-Simulation Method
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127
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ICCAD
2010
IEEE
124views Hardware» more  ICCAD 2010»
15 years 19 days ago
Symbolic performance analysis of elastic systems
Elastic systems, either synchronous or asynchronous, can be optimized for the average-case performance when they have units with early evaluation or variable latency. The performan...
Marc Galceran Oms, Jordi Cortadella, Michael Kishi...
130
Voted
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
15 years 8 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
129
Voted
AAAI
2006
15 years 4 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
137
Voted
DAC
2009
ACM
15 years 9 months ago
Throughput optimal task allocation under thermal constraints for multi-core processors
It is known that temperature gradients and thermal hotspots affect the reliability of microprocessors. Temperature is also an important constraint when maximizing the performance...
Vinay Hanumaiah, Ravishankar Rao, Sarma B. K. Vrud...
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 8 months ago
Improving GA search reliability using maximal hyper-rectangle analysis
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
Chongshan Zhang, Khaled Rasheed