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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 2 months ago
A new evolutionary model for detecting multiple optima
Multimodal optimization problems consist in detecting all global and local optima of a problem. A new evolutionary approach to multimodal optimization called Roaming technique (RO...
Rodica Ioana Lung, D. Dumitrescu
AAAI
1997
13 years 9 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
ENTCS
2007
99views more  ENTCS 2007»
13 years 8 months ago
Extending Symmetry Reduction Techniques to a Realistic Model of Computation
Much of the literature on symmetry reductions for model checking assumes a simple model of computation where the local state of each component in a concurrent system can be repres...
Alastair F. Donaldson, Alice Miller
WSC
2008
13 years 10 months ago
Discrete stochastic optimization using linear interpolation
We consider discrete stochastic optimization problems where the objective function can only be estimated by a simulation oracle; the oracle is defined only at the discrete points....
Honggang Wang, Bruce W. Schmeiser
DATE
2004
IEEE
175views Hardware» more  DATE 2004»
14 years 7 days ago
Breaking Instance-Independent Symmetries in Exact Graph Coloring
Code optimization and high level synthesis can be posed as constraint satisfaction and optimization problems, such as graph coloring used in register allocation. Graph coloring is...
Arathi Ramani, Fadi A. Aloul, Igor L. Markov, Kare...