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EOR
2002
125views more  EOR 2002»
13 years 10 months ago
Genetic local search for multi-objective combinatorial optimization
The paper presents a new genetic local search algorithm for multi-objective combinatorial optimization. The goal of the algorithm is to generate in a short time a set of approxima...
Andrzej Jaszkiewicz
ICPR
2006
IEEE
14 years 11 months ago
On Kernel Selection in Relevance Vector Machines Using Stability Principle
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
Dmitry Kropotov, Nikita Ptashko, Oleg Vasiliev, Dm...
GLOBECOM
2007
IEEE
14 years 4 months ago
Distributed On Demand Channel Selection in Multi Channel, Multi Interface Wireless Mesh Networks
—In this paper we present a protocol performing on demand distributed channel selection in multi channel, multi interface wireless mesh networks, based on the exchange of control...
Stefan Bouckaert, Nicolas Letor, Chris Blondia, In...
CEC
2010
IEEE
13 years 6 months ago
Novel multimodal problems and differential evolution with ensemble of restricted tournament selection
Multi-modal optimization refers to locating not only one optimum but a set of locally optimal solutions. Niching is an important technique to solve multi-modal optimization problem...
Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan
JMLR
2010
151views more  JMLR 2010»
13 years 5 months ago
The Feature Selection Path in Kernel Methods
The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...
Fuxin Li, Cristian Sminchisescu