91 search results - page 1 / 19 » A New Evolutionary Decision Theory for Many-Objective Optimi... |
ISICA
2007
Springer
14 years 5 months ago
2007
Springer
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
AUSAI
2009
Springer
14 years 5 months ago
2009
Springer
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for many-objective problems. In a user-preference based algorithm a decis...
GECCO
2008
Springer
13 years 12 months ago
2008
Springer
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
INFORMATICALT
2008
13 years 10 months ago
2008
Abstract. Multi-criteria decision making is used in many areas of human activities. Each alternative in multi-criteria decision making problem can be described by a set of criteria...
HIS
2008
14 years 8 days ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...