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» A Perspective on Evolutionary Computation
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BMCBI
2007
115views more  BMCBI 2007»
13 years 9 months ago
Local comparison of protein structures highlights cases of convergent evolution in analogous functional sites
Background: We performed an exhaustive search for local structural similarities in an ensemble of non-redundant protein functional sites. With the purpose of finding new examples ...
Gabriele Ausiello, Daniele Peluso, Allegra Via, Ma...
JACM
2006
99views more  JACM 2006»
13 years 9 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
JCB
2006
107views more  JCB 2006»
13 years 9 months ago
Maximum Likelihood Molecular Clock Comb: Analytic Solutions
Maximum likelihood (ML) is increasingly used as an optimality criterion for selecting evolutionary trees, but finding the global optimum is a hard computational task. Because no g...
Benny Chor, Amit Khetan, Sagi Snir
EOR
2007
100views more  EOR 2007»
13 years 9 months ago
Parallel radial basis function methods for the global optimization of expensive functions
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
Rommel G. Regis, Christine A. Shoemaker
AAMAS
2005
Springer
13 years 9 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