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WSC
2008
13 years 10 months ago
Simulation optimization for industrial scheduling using hybrid genetic representation
Simulation modeling has the capability to represent complex real-world systems in details and therefore it is suitable to develop simulation models for generating detailed operati...
Marcus Andersson, Amos Ng, Henrik Grimm
BMCBI
2007
186views more  BMCBI 2007»
13 years 7 months ago
Modeling human cancer-related regulatory modules by GA-RNN hybrid algorithms
Background: Modeling cancer-related regulatory modules from gene expression profiling of cancer tissues is expected to contribute to our understanding of cancer biology as well as...
Jung-Hsien Chiang, Shih-Yi Chao
GECCO
2007
Springer
206views Optimization» more  GECCO 2007»
13 years 11 months ago
Using code metric histograms and genetic algorithms to perform author identification for software forensics
We have developed a technique to characterize software developers' styles using a set of source code metrics. This style fingerprint can be used to identify the likely author...
Robert Charles Lange, Spiros Mancoridis
GECCO
2007
Springer
173views Optimization» more  GECCO 2007»
14 years 1 months ago
A hybrid GA for a supply chain production planning problem
The problem of production and delivery lot-sizing and scheduling of set of items in a two-echelon supply chain over a finite planning horizon is addressed in this paper. A single ...
Masoud Jenabi, S. Ali Torabi, S. Afshin Mansouri
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
14 years 1 months ago
Genetic drift in univariate marginal distribution algorithm
Like Darwinian-type genetic algorithms, there also exists genetic drift in Univariate Marginal Distribution Algorithm (UMDA). Since the universal analysis of genetic drift in UMDA...
Yi Hong, Qingsheng Ren, Jin Zeng