4 search results - page 1 / 1 » Multi-objective Optimization of Problems with Epistemic Unce... |
EMO
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
IJAR
2008
13 years 4 months ago
2008
Portfolio management in finance is more than a mathematical problem of optimizing performance under risk constraints. A critical factor in practical portfolio problems is severe u...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Hybrid intelligent systems (HIS) are very successful in tackling problems comprising of more than one distinct computational subtask. For instance, decision-making problems are...