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» Evolutionary Computation for Modeling and Optimization
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GPEM
2007
116views more  GPEM 2007»
15 years 6 months ago
Using evolvable genetic cellular automata to model breast cancer
Cancer is an evolutionary process; mutated cells are selected for abnormal growth and survivability. Here, a computer simulation is used to model ductal carcinoma in situ (DCIS), ...
Armand Bankhead, Robert B. Heckendorn
EUSFLAT
2003
132views Fuzzy Logic» more  EUSFLAT 2003»
15 years 8 months ago
Modeling high interest areas in descriptive TS fuzzy rule based systems
A descriptive Takagi-Sugeno fuzzy rule based system suffers under the curse of dimensionality since the number of rules is equal to a fuzzy system with a fully filled up decision...
Ingo Renners, Adolf Grauel
AAMAS
2005
Springer
15 years 6 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
CSB
2003
IEEE
106views Bioinformatics» more  CSB 2003»
15 years 11 months ago
Reconstruction of Ancestral Gene Order after Segmental Duplication and Gene Loss
As gene order evolves through a variety of chromosomal rearrangements, conserved segments provide important insight into evolutionary relationships and functional roles of genes. ...
Jun Huan, Jan Prins, Wei Wang 0010, Todd J. Vision
IPPS
2006
IEEE
16 years 16 days ago
Dynamic resource allocation of computer clusters with probabilistic workloads
Real-time resource scheduling is an important factor for improving the performance of cluster computing. In many distributed and parallel processing systems, particularly real-tim...
Marwan S. Sleiman, Lester Lipsky, Robert Sheahan