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» On Set-Based Multiobjective Optimization
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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 11 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 11 months ago
Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contracts
Our paper concerns optimal combinations of different types of reinsurance contracts. We introduce a novel approach based on the Mean-Variance-Criterion to solve this task. Two sta...
Ingo Oesterreicher, Andreas Mitschele, Frank Schlo...
IJCNN
2006
IEEE
14 years 1 months ago
Semi-supervised feature selection via multiobjective optimization
Abstract— In previous work, we have shown that both unsupervised feature selection and the semi-supervised clustering problem can be usefully formulated as multiobjective optimiz...
Julia Handl, Joshua D. Knowles
CEC
2010
IEEE
13 years 9 months ago
Multiobjective optimization algorithm for solving constrained single objective problems
Abstract--In this paper, the results for the CEC 2010 Competition and Special Session on Constrained Real-Parameter Optimization using the multiobjective differential evolution alg...
Gilberto Reynoso-Meza, Xavier Blasco Ferragud, Jav...
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 8 months ago
A new memetic strategy for the numerical treatment of multi-objective optimization problems
In this paper we propose a novel iterative search procedure for multi-objective optimization problems. The iteration process – though derivative free – utilizes the geometry o...
Oliver Schütze, Gustavo Sanchez, Carlos A. Co...