7 search results - page 1 / 2 » HEMO: A Sustainable Multi-objective Evolutionary Optimizatio... |
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
The capability of multi-objective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when applied to real-world problems. Their highly multi-mo...
SEAL
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
ICIC
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In this paper, a general framework of quantum-inspired multiobjective evolutionary algorithms is proposed based on the basic principles of quantum computing and general s...
CORR
2006
Springer
13 years 5 months ago
2006
Springer
Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multimodal optimization is proposed to formalize these...
ECAI
2006
Springer
13 years 6 months ago
2006
Springer
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...