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» Hybrid Optimizations: Which Optimization Algorithm to Use
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ICML
2002
IEEE
16 years 4 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
DAC
2004
ACM
16 years 4 months ago
Statistical optimization of leakage power considering process variations using dual-Vth and sizing
timing analysis tools to replace standard deterministic static timing analyzers whereas [8,27] develop approaches for the statistical estimation of leakage power considering within...
Ashish Srivastava, Dennis Sylvester, David Blaauw
121
Voted
ICRA
1998
IEEE
128views Robotics» more  ICRA 1998»
15 years 7 months ago
Hybrid, High-Precision Localisation for the Mail Distributing Mobile Robot System MOPS
This paper describes the new localisation algorithms under implementation for the mail distributing mobile robot, MOPS, of the Institute of Robotics, Swiss Federal Institute of Te...
Kai Oliver Arras, Sjur J. Vestli
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 9 months ago
Harmony search for structural design
Various algorithms have been developed and applied to structural optimization, in which cross-sectional areas of structure members are assumed to be continuous. In most cases of p...
Zong Woo Geem, Kang Seok Lee, Chung-Li Tseng
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 9 months ago
Quick-and-dirty ant colony optimization
Ant colony optimization (ACO) is a well known metaheuristic. In the literature it has been used for tackling many optimization problems. Often, ACO is hybridized with a local sear...
Paola Pellegrini, Elena Moretti