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» An Experimental Study of Random Knapsack Problems
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ECAI
2010
Springer
13 years 7 months ago
On Finding Compromise Solutions in Multiobjective Markov Decision Processes
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
Patrice Perny, Paul Weng
GECCO
2008
Springer
324views Optimization» more  GECCO 2008»
13 years 7 months ago
Convergence behavior of the fully informed particle swarm optimization algorithm
The fully informed particle swarm optimization algorithm (FIPS) is very sensitive to changes in the population topology. The velocity update rule used in FIPS considers all the ne...
Marco Antonio Montes de Oca, Thomas Stützle
PERCOM
2011
ACM
12 years 10 months ago
Privacy preservation schemes for querying wireless sensor networks
—In this work we study the problem of query privacy in large scale sensor networks. Motivated by a novel trust model in which clients query networks owned by trusted entities but...
Tassos Dimitriou, Ahmad Sabouri
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 7 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...
EDBT
2006
ACM
136views Database» more  EDBT 2006»
14 years 6 months ago
Optimizing Monitoring Queries over Distributed Data
Scientific data in the life sciences is distributed over various independent multi-format databases and is constantly expanding. We discuss a scenario where a life science research...
Frank Neven, Dieter Van de Craen