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» Scheduling in Multiprocessor System Using Genetic Algorithms
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151
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GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
15 years 3 months ago
Self-managing agents for dynamic scheduling in manufacturing
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Ana Madureira, Filipe Santos, Ivo Pereira
118
Voted
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 8 months ago
Exploring selection mechanisms for an agent-based distributed evolutionary algorithm
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
A. E. Eiben, Marc Schoenauer, Juan Luís Jim...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 7 months ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
ISCI
2007
95views more  ISCI 2007»
15 years 2 months ago
Software project management with GAs
A Project Scheduling Problem consists in deciding who does what during the software project lifetime. This is a capital issue in the practice of software engineering, since the to...
Enrique Alba, J. Francisco Chicano
CONEXT
2009
ACM
15 years 3 months ago
ThunderDome: discovering upload constraints using decentralized bandwidth tournaments
ThunderDome is a system for collaboratively measuring upload bandwidths in ad-hoc peer-to-peer systems. It works by scheduling bandwidth probes between pairs of hosts, wherein eac...
John R. Douceur, James W. Mickens, Thomas Moscibro...