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» Evolutionary Optimization of RBF Networks
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EMO
2009
Springer
140views Optimization» more  EMO 2009»
14 years 1 months ago
On Using Populations of Sets in Multiobjective Optimization
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
Johannes Bader, Dimo Brockhoff, Samuel Welten, Eck...
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
14 years 3 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
14 years 24 days ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
COLCOM
2008
IEEE
14 years 3 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. ...
GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
14 years 1 months ago
Multiobjective network design for realistic traffic models
Network topology design problems find application in several real life scenarios. However, most designs in the past either optimize for a single criterion like delay or assume sim...
Nilanjan Banerjee, Rajeev Kumar