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» Evolutionary multiobjective optimization
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ICANN
2009
Springer
15 years 8 months ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 6 months ago
Comparing Discrete and Continuous Genotypes on the Constrained Portfolio Selection Problem
In financial engineering the problem of portfolio selection has drawn much attention in the last decades. But still unsolved problems remain, while on the one hand the type of mod...
Felix Streichert, Holger Ulmer, Andreas Zell
GRID
2007
Springer
15 years 5 months ago
Multi-objective planning for workflow execution on Grids
Utility Grids create an infrastructure for enabling users to consume services transparently over a global network. When optimizing workflow execution on utility Grids, we need to c...
Jia Yu, Michael Kirley, Rajkumar Buyya
CEC
2011
IEEE
14 years 1 months ago
Accelerating convergence towards the optimal pareto front
—Evolutionary algorithms have been very popular optimization methods for a wide variety of applications. However, in spite of their advantages, their computational cost is still ...
Mohsen Davarynejad, Jafar Rezaei, Jos L. M. Vranck...
ESANN
2004
15 years 2 months ago
Dynamic functional-link neural networks genetically evolved applied to system identification
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
Teodor Marcu, Birgit Köppen-Seliger