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CEC
2007
IEEE
2007
IEEE
Flexibility of design variables to pareto-optimal solutions in multi objective optimization problems
13 years 11 months ago
Abstract— In this paper, we propose the concept of the flexibility of design variables to Pareto-optimal solutions in MultiObjective Optimization problems. In addition, we intro...
VLDB
1991
ACM
14 years 1 months ago
1991
ACM
Domain mismatch and schema mismatch are two of the important semantic integration problems for interoperating heterogeneous databases. This paper structures the domain mismatch pr...
GECCO
2007
Springer
14 years 4 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...
ESA
2009
Springer
14 years 4 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...