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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
13 years 11 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
AUTOMATICA
2006
183views more  AUTOMATICA 2006»
13 years 7 months ago
Bank management via stochastic optimal control
This paper examines a problem related to the optimal risk management of banks in a stochastic dynamic setting. In particular, we minimize7 market and capital adequacy risk that in...
Janine Mukuddem-Petersen, Mark Adam Petersen
APPROX
2006
Springer
114views Algorithms» more  APPROX 2006»
13 years 11 months ago
Stochastic Combinatorial Optimization with Controllable Risk Aversion Level
Anthony Man-Cho So, Jiawei Zhang, Yinyu Ye
ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
14 years 1 months ago
A Bayesian framework for optimal motion planning with uncertainty
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
AAAI
2008
13 years 9 months ago
An Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
Masahiro Ono, Brian C. Williams