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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 11 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
WWW
2009
ACM
14 years 11 months ago
Smart Miner: a new framework for mining large scale web usage data
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...
DAC
2002
ACM
14 years 11 months ago
ILP-based engineering change
We have developed a generic integer linear programming(ILP)based engineering change(EC) methodology. The EC methodology has three components: enabling, fast, and preserving. Enabl...
Farinaz Koushanfar, Jennifer L. Wong, Jessica Feng...
CCS
2007
ACM
14 years 2 months ago
Highly efficient techniques for network forensics
Given a history of packet transmissions and an excerpt of a possible packet payload, the payload attribution problem requires the identification of sources, destinations and the t...
Miroslav Ponec, Paul Giura, Hervé Brön...
ATAL
2010
Springer
13 years 11 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...