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GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
14 years 1 months ago
Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
Hisao Ishibuchi, Kaname Narukawa
AMC
2004
115views more  AMC 2004»
13 years 7 months ago
Performance comparison of memetic algorithms
Local search techniques have been applied in optimization methods. The effect of local search to the memetic algorithms can make multimodal and non-linear problems easier to solve...
Jason G. Digalakis, Konstantinos G. Margaritis
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
14 years 11 days ago
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios
The Portfolio Optimization problem consists of the selection of a group of assets to a long-term fund in order to minimize the risk and maximize the return of the investment. This...
Claus de Castro Aranha, Hitoshi Iba
TNN
2010
171views Management» more  TNN 2010»
13 years 2 months ago
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
Juan Carlos Fernández Caballero, Francisco ...
EVOW
2004
Springer
14 years 1 months ago
Scatter Search and Memetic Approaches to the Error Correcting Code Problem
We consider the problem of designing error correcting codes (ECC), a hard combinatorial optimization problem of relevance in the field of telecommunications. This problem is tackl...
Carlos Cotta