Please use this identifier to cite or link to this item:
https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1802
Title: | Analysis of the Performance of Genetic Algorithm in AutoDock |
Authors: | Udugala, A.C. |
Issue Date: | 12 |
Abstract: | Molecular Docking is a critical problem, which is known as a NP-hard problem due to its large search space. AutoDock which is a open source molecular docking tool was critically analyzed to understand the molecular docking procedure. With much attention the Genetic Algorithm used by AutoDock was analyzed and alternative hybrid search optimization algorithms were integrated with AutoDock to gain better docking results. |
URI: | http://hdl.handle.net/123456789/1802 |
Appears in Collections: | SCS Individual Project - Final Thesis (2012) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
32.pdf Restricted Access | 2.07 MB | Adobe PDF | View/Open Request a copy |
Items in UCSC Digital Library are protected by copyright, with all rights reserved, unless otherwise indicated.