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GPEM
2002
163views more  GPEM 2002»
14 years 9 months ago
Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays
Ant Colony Optimization (ACO) is a metaheuristic used to solve combinatorial optimization problems. As with other metaheuristics, like evolutionary methods, ACO algorithms often sh...
Daniel Merkle, Martin Middendorf
IJCIA
2002
137views more  IJCIA 2002»
14 years 9 months ago
Co-Evolution in Social Interactions
An interesting problem which has been widely investigated is under what circumstances will a society of rational agents realize some particular stable situations, and whether they ...
Hiroshi Sato, Akira Namatame
NETWORKS
2007
14 years 9 months ago
Survivable IP network design with OSPF routing
Internet protocol (IP) traffic follows rules established by routing protocols. Shortest path based protocols, such as Open Shortest Path First (OSPF), direct traffic based on arc w...
Luciana S. Buriol, Mauricio G. C. Resende, Mikkel ...
PPSN
2010
Springer
14 years 8 months ago
Ant Colony Optimization with Immigrants Schemes in Dynamic Environments
Abstract. In recent years, there has been a growing interest in addressing dynamic optimization problems (DOPs) using evolutionary algorithms (EAs). Several approaches have been de...
Michalis Mavrovouniotis, Shengxiang Yang
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 7 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel