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GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 6 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay
89
Voted
EUROGP
2007
Springer
129views Optimization» more  EUROGP 2007»
15 years 6 months ago
Genetic Programming Heuristics for Multiple Machine Scheduling
In this paper we present a method for creating scheduling heuristics for parallel proportional machine scheduling environment and arbitrary performance criteria. Genetic programmin...
Domagoj Jakobovic, Leonardo Jelenkovic, Leo Budin
IPPS
1999
IEEE
15 years 4 months ago
A Genetic-Based Fault-Tolerant Routing Strategy for Multiprocessor Networks
Abstract. We have investigated the adaptation of AI-based search techniques as topologyindependent fault-tolerant routing strategies on multiprocessor networks [9]. The results sho...
Peter K. K. Loh, Venson Shaw
FGCS
2010
119views more  FGCS 2010»
14 years 10 months ago
Characterizing fault tolerance in genetic programming
Evolutionary Algorithms, including Genetic Programming (GP), are frequently employed to solve difficult real-life problems, which can require up to days or months of computation. ...
Daniel Lombraña Gonzalez, Francisco Fern&aa...
CBMS
2007
IEEE
15 years 6 months ago
An Unsupervised and Fully-Automated Image Analysis Method for cDNA Microarrays
Microarray gene expression image analysis is a labor-intensive task and requires human intervention since microarray images are contaminated with noise and artifacts while spots a...
Eleni Zacharia, Dimitrios E. Maroulis