The Impact of Local Search on Protein-Ligand Docking Optimization

Jorge Tavares 1 Alexandru-Adrian Tantar 1 Nouredine Melab 1 El-Ghazali Talbi 1
1 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : Common evolutionary approaches to protein-ligand docking optimization use mutation operators based on Gaussian and Cauchy distributions, with local search hybrids. The choice of a local search method is important for an efficient algorithm. We investigate the impact of local search with mutation operators by performing a locality analysis. High locality means that small variations in the genotype imply small variations in the phenotype. Results show that local search hybrids reduce locality and act as local optimizers with the solution as a starting point.
Type de document :
Communication dans un congrès
8th International Conference on Pon Hybrid Intelligent Systems (HIS 2008), Sep 2008, Barcelone, Spain. 2008, 〈10.1109/HIS.2008.14〉
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https://hal.inria.fr/hal-00684472
Contributeur : Ist Rennes <>
Soumis le : lundi 2 avril 2012 - 11:06:19
Dernière modification le : jeudi 11 janvier 2018 - 06:22:13

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INRIA | GRID5000 | UNIV-LILLE3 | CRISTAL | CRISTAL-DOLPHIN

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Jorge Tavares, Alexandru-Adrian Tantar, Nouredine Melab, El-Ghazali Talbi. The Impact of Local Search on Protein-Ligand Docking Optimization. 8th International Conference on Pon Hybrid Intelligent Systems (HIS 2008), Sep 2008, Barcelone, Spain. 2008, 〈10.1109/HIS.2008.14〉. 〈hal-00684472〉

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