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» Optimizing Graph Algorithms for Improved Cache Performance
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137
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ILP
2003
Springer
15 years 9 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
181
Voted
PPSN
2010
Springer
15 years 2 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
85
Voted
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 7 months ago
An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm
Given the prominence of elite archiving in contemporary multiobjective optimisation research and the limitations inherent in bounded population sizes, it is unusual that the vast ...
Adam Berry, Peter Vamplew
155
Voted
ASC
2011
14 years 10 months ago
Quality of Service constrained routing optimization using Evolutionary Computation
In this work, a novel optimization framework is proposed that allows the improvement of Quality of Service levels in TCP/IP based networks, by configuring the routing weights of ...
Miguel Rocha, Pedro Sousa, Paulo Cortez, Miguel Ri...
127
Voted
WCNC
2008
IEEE
15 years 10 months ago
Throughput and Delay Performance Analysis of Packet Aggregation Scheme for PRMA
—Packet reservation multiple access (PRMA) protocol is an implicit reservation MAC protocol. It is initially designed for voice packets in the cellular networks [2], [3] but it is...
Qi Zhang, Villy Bæk Iversen, Frank H. P. Fit...