Actions for Comparing Evolutionary Programs and Evolutionary Pattern Search Algorithms [electronic resource] : A Drug Docking Application

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Comparing Evolutionary Programs and Evolutionary Pattern Search Algorithms [electronic resource] : A Drug Docking Application

Published
Washington, D.C. : United States. Dept. of Energy, 1999.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
9 pages : digital, PDF file
Additional Creators
Sandia National Laboratories, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
Evolutionary programs (EPs) and evolutionary pattern search algorithms (EPSAS) are two general classes of evolutionary methods for optimizing on continuous domains. The relative performance of these methods has been evaluated on standard global optimization test functions, and these results suggest that EPSAs more robustly converge to near-optimal solutions than EPs. In this paper we evaluate the relative performance of EPSAs and EPs on a real-world application: flexible ligand binding in the Autodock docking software. We compare the performance of these methods on a suite of docking test problems. Our results confirm that EPSAs and EPs have comparable performance, and they suggest that EPSAs may be more robust on larger, more complex problems.
Report Numbers
E 1.99:sand99-0350c
sand99-0350c
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Note
Published through SciTech Connect.
02/10/1999.
"sand99-0350c"
Genetic and Evolutionary Computation Conference, Orlando, FL (US), 07/13/1999--07/17/1999.
Hart, W.E.
Funding Information
AC04-94AL85000
View MARC record | catkey: 13810626