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Tabu search based strategies for conformational search.
Svetlana Stepanenko1, Bernd Engels
1Julius-Maximillians-Universität Würzburg, Institut für Organische Chemie, Am Hubland, 97074 Würzburg, Germany.
The Journal of Physical Chemistry. A
|September 23, 2009
Summary
This study introduces a new global optimization method, gradient-only tabu search (GOTS), for conformational searches. GOTS refines ranking and incorporates simulated annealing elements to efficiently find molecular structures.
Area of Science:
- Computational Chemistry
- Molecular Modeling
- Optimization Algorithms
Background:
- Conformational search is crucial for understanding molecular properties.
- Existing methods face challenges in efficiency and accuracy.
- Global optimization techniques are needed for complex potential energy surfaces.
Purpose of the Study:
- To adapt and apply the gradient-only tabu search (GOTS) algorithm for conformational search problems.
- To refine the GOTS method for improved ranking and efficiency.
- To evaluate the utility of the modified GOTS for determining molecular conformations.
Main Methods:
- Application of a novel nonlinear global optimization routine, GOTS.
- Utilizing a tabu search strategy with steepest descent-modest ascent.
- Incorporating refinements in ranking procedures and simulated annealing elements.
- Modifying the GOTS algorithm specifically for conformational searches.
Main Results:
- Demonstrated the successful application of GOTS to conformational search problems.
- Showcased the effectiveness of refined ranking and simulated annealing integration.
- Validated the utility of the adapted GOTS through various test cases.
Conclusions:
- The modified GOTS algorithm is a viable and effective tool for conformational searches.
- The integration of GOTS with conformational search strategies offers advantages in global optimization.
- Further testing confirms the practical applicability of GOTS in molecular modeling.
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