Learning in embedded systems
Phase transitions and the search problem
Artificial Intelligence - Special volume on frontiers in problem solving: phase transitions and complexity
Artificial Intelligence - special issue on computational tradeoffs under bounded resources
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Finite-time Analysis of the Multiarmed Bandit Problem
Machine Learning
Algorithm Selection using Reinforcement Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Some simplified NP-complete problems
STOC '74 Proceedings of the sixth annual ACM symposium on Theory of computing
A Dynamically Tuned Sorting Library
Proceedings of the international symposium on Code generation and optimization: feedback-directed and runtime optimization
Statistical Models for Empirical Search-Based Performance Tuning
International Journal of High Performance Computing Applications
Learning dynamic algorithm portfolios
Annals of Mathematics and Artificial Intelligence
ANSS '07 Proceedings of the 40th Annual Simulation Symposium
The Black Swan: The Impact of the Highly Improbable
The Black Swan: The Impact of the Highly Improbable
An Algorithm Selection Approach for Simulation Systems
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
Large-Scale Design Space Exploration of SSA
CMSB '08 Proceedings of the 6th International Conference on Computational Methods in Systems Biology
Data mining for simulation algorithm selection
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Empirical hardness models: Methodology and a case study on combinatorial auctions
Journal of the ACM (JACM)
An Efficient and Adaptive Mechanism for Parallel Simulation Replication
PADS '09 Proceedings of the 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation
Where the really hard problems are
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Simultaneous stochastic simulation of multiple perturbations in biological network models
CMSB'07 Proceedings of the 2007 international conference on Computational methods in systems biology
A flexible architecture for performance experiments with the pi-Calculus and its extensions
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
A neural network model for inter-problem adaptive online time allocation
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Using genetic algorithms to limit the optimism in time warp
Winter Simulation Conference
Evaluating simulation software components with player rating systems
Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques
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An algorithm portfolio is a set of algorithms that are bundled together for increased overall performance. While being mostly applied to computationally hard problems so far, we investigate portfolio selection for simulation algorithms and focus on their application to adaptive simulation replication. Since the portfolio selection problem is itself hard to solve, we introduce a genetic algorithm to select the most promising portfolios from large sets of simulation algorithms. The effectiveness of this mechanism is evaluated by data from both a realistic performance study and a dedicated test environment.