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 ![]() | |
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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