Reference : The Influence of Mutation on Protein-Ligand Docking Optimization: A Locality Analysis
Scientific congresses, symposiums and conference proceedings : Paper published in a journal
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/10520
The Influence of Mutation on Protein-Ligand Docking Optimization: A Locality Analysis
English
Tavares, Jorge [INRIA Lille Nord Europe Res Ctr, F-59650 Villeneuve Dascq, France.]
Tantar, Alexandru-Adrian mailto [INRIA Lille Nord Europe Res Ctr, F-59650 Villeneuve Dascq, France.]
Melab, Nouredine [INRIA Lille Nord Europe Res Ctr, F-59650 Villeneuve Dascq, France.]
Talbi, El-Ghazali [INRIA Lille Nord Europe Res Ctr, F-59650 Villeneuve Dascq, France.]
2008
LECTURE NOTES IN COMPUTER SCIENCE
Springer-Verlag Berlin
5199
PARALLEL PROBLEM SOLVING FROM NATURE - PPSN X, PROCEEDINGS
589-598
Yes
No
International
0302-9743
Berlin
10th International Conference on Parallel Problem Solving from Nature
SEP 13-17, 2008
Collaborat Res Ctr, Dortmund Univ Technol, Deutsch Forsch Gemeinsch, Gesell Informat
Dortmund
GERMANY
[en] Evolutionary approaches to protein-ligand docking typically use a real-value encoding and mutation operators based on Gaussian and Cauchy distributions. The choice of mutation is important for an efficient algorithm for this problem. We investigate the effect of mutation operators by locality analysis. High locality means that small variations in the genotype imply small variations in the phenotype. Results show that Gaussian-based operators have stronger locality than Cauchy-based ones, especially if an annealing scheme is used to control the variance.
http://hdl.handle.net/10993/10520
978-3-540-87699-1
Rudolph, G Jansen, T Lucas, S Poloni, C Beume, N

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