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» Multi-objective Pole Placement with Evolutionary Algorithms
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EMO
2006
Springer
182views Optimization» more  EMO 2006»
13 years 8 months ago
Multi-objective Pole Placement with Evolutionary Algorithms
Multi-Objective Evolutionary Algorithms (MOEA) have been succesfully applied to solve control problems. However, many improvements are still to be accomplished. In this paper a new...
Gustavo Sánchez, Minaya Villasana, Miguel S...
COLCOM
2008
IEEE
13 years 11 months ago
Replication in Overlay Networks: A Multi-objective Optimization Approach
Recently, overlay network-based collaborative applications such as instant messaging, content sharing, and Internet telephony are becoming increasingly popular. Many of these appli...
Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. ...