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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 1 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
COR
2007
134views more  COR 2007»
14 years 9 months ago
Portfolio selection using neural networks
In this paper we apply a heuristic method based on artificial neural networks (NN) in order to trace out the efficient frontier associated to the portfolio selection problem. We...
Alberto Fernández, Sergio Gómez
GECCO
2007
Springer
437views Optimization» more  GECCO 2007»
15 years 3 months ago
A gestalt genetic algorithm: less details for better search
The basic idea to defend in this paper is that an adequate perception of the search space, sacrificing most of the precision, can paradoxically accelerate the discovery of the mo...
Christophe Philemotte, Hugues Bersini
INFOCOM
2008
IEEE
15 years 4 months ago
Adding Capacity Points to a Wireless Mesh Network Using Local Search
Abstract— Wireless mesh network deployments are popular as a cost-effective means to provide broadband connectivity to large user populations. As the network usage grows, network...
Joshua Robinson, Mustafa Uysal, Ram Swaminathan, E...
CP
2005
Springer
15 years 3 months ago
Search and Inference in AI Planning
While Planning has been a key area in Artificial Intelligence since its beginnings, significant changes have occurred in the last decade as a result of new ideas and a more estab...
Hector Geffner