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GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
15 years 4 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
AAAI
1996
15 years 4 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
AIR
1998
103views more  AIR 1998»
15 years 2 months ago
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Abstract. Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc...
Francisco Herrera, Manuel Lozano, José L. V...
PLDI
2003
ACM
15 years 8 months ago
Compile-time dynamic voltage scaling settings: opportunities and limits
With power-related concerns becoming dominant aspects of hardware and software design, significant research effort has been devoted towards system power minimization. Among run-t...
Fen Xie, Margaret Martonosi, Sharad Malik
ICALP
2010
Springer
15 years 8 months ago
Thresholded Covering Algorithms for Robust and Max-min Optimization
The general problem of robust optimization is this: one of several possible scenarios will appear tomorrow, but things are more expensive tomorrow than they are today. What should...
Anupam Gupta, Viswanath Nagarajan, R. Ravi