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AAAI
2010
13 years 9 months ago
Myopic Policies for Budgeted Optimization with Constrained Experiments
Motivated by a real-world problem, we study a novel budgeted optimization problem where the goal is to optimize an unknown function f(x) given a budget. In our setting, it is not ...
Javad Azimi, Xiaoli Fern, Alan Fern, Elizabeth Bur...
AUTOMATICA
2002
104views more  AUTOMATICA 2002»
13 years 7 months ago
Who needs QP for linear MPC anyway?
Conventional MPC uses quadratic programming (QP) to minimise, on-line, a cost over n linearly constrained control moves. However, stability constraints often require the use of la...
Basil Kouvaritakis, Mark Cannon, J. Anthony Rossit...
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
14 years 1 months ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
ICDCS
2005
IEEE
14 years 1 months ago
Optimal Component Composition for Scalable Stream Processing
Stream processing has become increasingly important with emergence of stream applications such as audio/video surveillance, stock price tracing, and sensor data analysis. A challe...
Xiaohui Gu, Philip S. Yu, Klara Nahrstedt
ICASSP
2011
IEEE
12 years 11 months ago
Resource allocation for OFDMA cognitive radios under channel uncertainty
A weighted sum-rate maximization problem is considered for an access point (AP) allocating resources to wireless cognitive radios (CRs) communicating using orthogonal frequency-di...
Seung-Jun Kim, Nasim Yahya Soltani, Georgios B. Gi...