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» Solving Hierarchical Optimization Problems Using MOEAs
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GECCO
2009
Springer
193views Optimization» more  GECCO 2009»
15 years 8 months ago
Optimization of dynamic memory managers for embedded systems using grammatical evolution
New portable consumer embedded devices must execute multimedia applications (e.g., 3D games, video players and signal processing software, etc.) that demand extensive memory acces...
José L. Risco-Martín, David Atienza,...
135
Voted
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
15 years 5 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
113
Voted
INFOCOM
2010
IEEE
15 years 2 months ago
Markov Approximation for Combinatorial Network Optimization
—Many important network design problems can be formulated as a combinatorial optimization problem. A large number of such problems, however, cannot readily be tackled by distribu...
Minghua Chen, Soung Chang Liew, Ziyu Shao, Caihong...
169
Voted
RAS
2006
111views more  RAS 2006»
15 years 3 months ago
Planning under uncertainty using model predictive control for information gathering
This paper considers trajectory planning problems for autonomous robots in information gathering tasks. The objective of the planning is to maximize the information gathered withi...
Cindy Leung, Shoudong Huang, Ngai Ming Kwok, Gamin...
131
Voted
SODA
2004
ACM
127views Algorithms» more  SODA 2004»
15 years 5 months ago
An optimal randomized algorithm for maximum Tukey depth
We present the first optimal algorithm to compute the maximum Tukey depth (also known as location or halfspace depth) for a non-degenerate point set in the plane. The algorithm is...
Timothy M. Chan