GECCO
2007
Springer
14 years 5 months ago
2007
Springer
Multiobjective optimization problems with many local Pareto fronts is a big challenge to evolutionary algorithms. In this paper, two operators, biased initialization and biased cr...
CEC
2007
IEEE
14 years 5 months ago
2007
IEEE
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
ESA
2009
Springer
14 years 6 months ago
2009
Springer
In this paper we show that iterative rounding is a powerful and flexible tool in the design of approximation algorithms for multiobjective optimization problems. We illustrate tha...
CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
—In this paper, the DMOEA-DD, which is an improvement of DMOEA[1, 2] by using domain decomposition technique, is applied to tackle the CEC 2009 MOEA competition test instances th...