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» Scheduling in Multiprocessor System Using Genetic Algorithms
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GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
13 years 10 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
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 3 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»
14 years 1 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»
13 years 9 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
13 years 10 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...