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122
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PPSN
2010
Springer
15 years 18 days ago
A Natural Evolution Strategy for Multi-objective Optimization
Abstract. The recently introduced family of natural evolution strategies (NES), a novel stochastic descent method employing the natural gradient, is providing a more principled alt...
Tobias Glasmachers, Tom Schaul, Jürgen Schmid...
134
Voted
ICTAI
2009
IEEE
14 years 12 months ago
A Confidence-Based Dominance Operator in Evolutionary Algorithms for Noisy Multiobjective Optimization Problems
This paper describes a noise-aware dominance operator for evolutionary algorithms to solve the multiobjective optimization problems (MOPs) that contain noise in their objective fu...
Pruet Boonma, Junichi Suzuki
95
Voted
IEEEVAST
2010
14 years 9 months ago
Interactive visual analysis of multiobjective optimizations
Optimization problems are typically addressed by purely automatic approaches. For multi-objective problems, however, a single best solution often does not exist. In this case, it ...
Wolfgang Berger, Harald Piringer
127
Voted
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
15 years 8 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...
126
Voted
PPSN
2010
Springer
15 years 2 days ago
Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search
Abstract. In this paper, we elaborate how decision space diversity can be integrated into indicator-based multiobjective search. We introduce DIOP, the diversity integrating multio...
Tamara Ulrich, Johannes Bader, Lothar Thiele