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PPSN
2010
Springer
13 years 6 months ago
Improved Dynamic Lexicographic Ordering for Multi-Objective Optimisation
Abstract. There is a variety of methods for ranking objectives in multiobjective optimization and some are difficult to define because they require information a priori (e.g. esta...
Juan Pedro Castro Gutiérrez, Dario Landa-Si...
HIS
2007
13 years 9 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
14 years 1 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 8 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
EMO
2009
Springer
155views Optimization» more  EMO 2009»
14 years 2 months ago
A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point
A nadir point is constructed by the worst objective values of the solutions of the entire Pareto-optimal set. Along with the ideal point, the nadir point provides the range of obje...
Kalyanmoy Deb, Kaisa Miettinen, Deepak Sharma