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» A framework for the description of evolutionary algorithms
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138
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ATAL
2003
Springer
15 years 8 months ago
Multiagent diffusion and distributed optimization
Distributed problem solving by a multiagent system represents a promising approach to solving complex computational problems. However, many multiagent systems require certain degr...
Kwok Ching Tsui, Jiming Liu
136
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ICDCS
2002
IEEE
15 years 8 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
150
Voted
JSAC
2008
79views more  JSAC 2008»
15 years 3 months ago
A content-centric framework for effective data dissemination in opportunistic networks
In this paper, we address the challenges of content transfer in opportunistic networks, and propose techniques to better facilitate data dissemination based on the characteristics ...
Ling-Jyh Chen, Chen-Hung Yu, Cheng-Long Tseng, Hao...
122
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ICDE
2007
IEEE
99views Database» more  ICDE 2007»
15 years 9 months ago
A QoS-based Service Composition for Content Adaptation
Today’s Internet suffers from the problem of heterogeneity in client devices, network connectivity, content format, and users’ preferences. The framework presented in this pap...
Khalil El-Khatib, Gregor von Bochmann, Abdulmotale...
135
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TEC
2010
77views more  TEC 2010»
14 years 10 months ago
On Set-Based Multiobjective Optimization
Abstract--Assuming that evolutionary multiobjective optimization (EMO) mainly deals with set problems, one can identify three core questions in this area of research: (i) how to fo...
Eckart Zitzler, Lothar Thiele, Johannes Bader