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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 1 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
CEC
2007
IEEE
15 years 4 months ago
Convergence and rate of convergence of a foraging ant model
— We present an ant model that solves a discrete foraging problem. We describe simulations and provide a complete convergence analysis: we show that the ant population computes t...
Amine M. Boumaza, Bruno Scherrer
EUROSYS
2010
ACM
15 years 7 months ago
Delay Scheduling: A Simple Technique for Achieving Locality and Fairness in Cluster Scheduling
As organizations start to use data-intensive cluster computing systems like Hadoop and Dryad for more applications, there is a growing need to share clusters between users. Howeve...
Matei Zaharia, Dhruba Borthakur, Joydeep Sen Sarma...
DAC
2006
ACM
15 years 10 months ago
Design space exploration using time and resource duality with the ant colony optimization
Design space exploration during high level synthesis is often conducted through ad-hoc probing of the solution space using some scheduling algorithm. This is not only time consumi...
Gang Wang, Wenrui Gong, Brian DeRenzi, Ryan Kastne...
TCAD
2002
73views more  TCAD 2002»
14 years 9 months ago
System-on-a-chip test scheduling with precedence relationships, preemption, and power constraints
Test scheduling is an important problem in system-on-a-chip (SOC) test automation. Efficient test schedules minimize the overall system test application time, avoid test resource c...
Vikram Iyengar, Krishnendu Chakrabarty