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WSC
2008
15 years 7 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
ICCAD
2008
IEEE
122views Hardware» more  ICCAD 2008»
16 years 1 months ago
Network flow-based power optimization under timing constraints in MSV-driven floorplanning
Abstract— Power consumption has become a crucial problem in modern circuit design. Multiple Supply Voltage (MSV) design is introduced to provide higher flexibility in controllin...
Qiang Ma, Evangeline F. Y. Young
172
Voted
GECCO
2010
Springer
170views Optimization» more  GECCO 2010»
15 years 9 months ago
Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution
Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a...
José Manuel Colmenar, José L. Risco-...
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 8 months ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
MP
2010
154views more  MP 2010»
15 years 3 months ago
A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties
Abstract. We present a null-space primal-dual interior-point algorithm for solving nonlinear optimization problems with general inequality and equality constraints. The algorithm a...
Xinwei Liu, Yaxiang Yuan