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GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 9 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
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
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 9 months ago
Optimal antenna placement using a new multi-objective chc algorithm
Radio network design (RND) is a fundamental problem in cellular networks for telecommunications. In these networks, the terrain must be covered by a set of base stations (or anten...
Antonio J. Nebro, Enrique Alba, Guillermo Molina, ...
CODES
2003
IEEE
15 years 8 months ago
A multiobjective optimization model for exploring multiprocessor mappings of process networks
In the Sesame framework, we develop a modeling and simulation environment for the efficient design space exploration of heterogeneous embedded systems. Since Sesame recognizes se...
Cagkan Erbas, Selin C. Erbas, Andy D. Pimentel
PEWASUN
2008
ACM
15 years 4 months ago
Communication models for throughput optimization in mesh networks
There has been extensive research focused on maximizing the throughput of wireless networks in general and mesh networks in particular. Recently, techniques have been developed th...
Stephan Bohacek, Peng Wang