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» On Genetic Algorithms and Lindenmayer Systems
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GEOINFORMATICA
2002
92views more  GEOINFORMATICA 2002»
15 years 1 months ago
Using Genetic Algorithms for Solving Hard Problems in GIS
Genetic algorithms (GAs) are powerful combinatorial optimizers that are able to
Steven van Dijk, Dirk Thierens, Mark de Berg
TFS
2008
230views more  TFS 2008»
15 years 1 months ago
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
IPPS
1999
IEEE
15 years 6 months ago
Distributed Scheduling with Decomposed Optimization Criterion: Genetic Programming Approach
Abstract. A new approach to develop parallel and distributed scheduling algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of t...
Franciszek Seredynski, Jacek Koronacki, Cezary Z. ...
AIR
2005
130views more  AIR 2005»
15 years 1 months ago
Framework for Task Scheduling in Heterogeneous Distributed Computing Using Genetic Algorithms
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous processors in a distributed system. The scheduler operates in an environment with dynam...
Andrew J. Page, Thomas J. Naughton
EUROPAR
2009
Springer
15 years 6 months ago
A New Genetic Algorithm for Scheduling for Large Communication Delays
Abstract. In modern parallel and distributed systems, the time for exchanging data is usually larger than that for computing elementary operations. Consequently, these communicatio...
Johnatan E. Pecero, Denis Trystram, Albert Y. Zoma...