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133
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SC
2000
ACM
15 years 8 months ago
Scalable Algorithms for Adaptive Statistical Designs
We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
Robert H. Oehmke, Janis Hardwick, Quentin F. Stout
132
Voted
ATAL
2006
Springer
15 years 7 months ago
No-commitment branch and bound search for distributed constraint optimization
We present a new polynomial-space algorithm for solving Distributed Constraint Optimization problems (DCOP). The algorithm, called NCBB, is branch and bound search with modificati...
Anton Chechetka, Katia P. Sycara
ECRTS
2004
IEEE
15 years 7 months ago
Optimized Slowdown in Real-Time Task Systems
In [1], Jejurikar and Gupta investigated energy savings due to optimal slowdown of periodic tasks in real-time task systems, where tasks have varying power characteristics and task...
Ravindra Jejurikar, Rajesh K. Gupta
EMO
2006
Springer
219views Optimization» more  EMO 2006»
15 years 7 months ago
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourd...
138
Voted
ATS
2001
IEEE
126views Hardware» more  ATS 2001»
15 years 7 months ago
Design of an Optimal Test Access Architecture Using a Genetic Algorithm
Test access is a major problem for core-based systemon-chip (SOC) designs. Since cores in an SOC are not directly accessible via chip inputs and outputs, special access mechanisms...
Zahra Sadat Ebadi, André Ivanov