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TAPOS
1998
93views more  TAPOS 1998»
13 years 8 months ago
Object Acquaintance Selection and Binding
Large object-oriented systems have, at least, four characteristics that complicate object communication, i.e the system is distributed and contains large numbers, e.g. thousands, ...
Jan Bosch
IROS
2008
IEEE
125views Robotics» more  IROS 2008»
14 years 3 months ago
Dynamic correlation matrix based multi-Q learning for a multi-robot system
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...
Hongliang Guo, Yan Meng
CEC
2010
IEEE
13 years 10 months ago
Dynamic multi-swarm particle swarm optimizer with sub-regional harmony search
In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) and a sub-regional harmony search (SHS) are hybridized to obtain DMS-PSO-SHS. A Modified multi-trajectory ...
Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, ...
WWW
2010
ACM
14 years 4 months ago
Selecting skyline services for QoS-based web service composition
Web service composition enables seamless and dynamic integration of business applications on the web. The performance of the composed application is determined by the performance ...
Mohammad Alrifai, Dimitrios Skoutas, Thomas Risse
VLDB
1989
ACM
140views Database» more  VLDB 1989»
14 years 1 months ago
The Effect of Bucket Size Tuning in the Dynamic Hybrid GRACE Hash Join Method
In this paper, we show detailed analysis and performance evaluation of the Dynamic Hybrid GRACE Hash Join Method (DHGH Method) when the tuple distribution in buckets is unbalanced...
Masaru Kitsuregawa, Masaya Nakayama, Mikio Takagi