5289 search results - page 620 / 1058 » Evolutionary Computation for Modeling and Optimization |
191
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SOFSEM
2010
Springer
16 years 3 months ago
2010
Springer
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
187
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IJAR
2006
15 years 7 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
174
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TCS
2011
15 years 1 months ago
2011
We formulate and study a new computational model for dynamic data. In this model, the data changes gradually and the goal of an algorithm is to compute the solution to some proble...
158
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ATMOS
2009
15 years 8 months ago
2009
We present a set of three new time-dependent models with increasing flexibility for realistic route planning in flight networks. By these means, we obtain small graph sizes while m...
156
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MP
2002
15 years 6 months ago
2002
In this paper we address a general Goal Programming problem with linear objectives, convex constraints, and an arbitrary componentwise nondecreasing norm to aggregate deviations w...