Optimization of molecular clusters configurations using a Genetic Algorithm

dc.creatorPisov, Stoyan
dc.creatorProykova, A.
dc.date2002-09-13
dc.date.accessioned2026-07-07T05:48:07Z
dc.date.available2026-07-07T05:48:07Z
dc.descriptionWe present a genetic algorithm developed (GA) to optimize molecular AF_6 cluster configurations with respect to their energy. The method is based on the Darvin's evolutionary theory: structures with lowest energies survive in a system of fixed number of clusters. Two existing structures from a given population are combined in a special way to produce a new structure (child) which is kept if its energy is lower than the highest energy in the ensemble. To keep the population constant we reject the structure with the highest energy. This algorithm gives a better result than the optimization techniques used previously. Using the GA we have found a new structure corresponding to the (seemingly) global minimum. The most important result is that the new structure is detected only if the molecular cluster contains more than a critical number of molecules.
dc.description4 pages, 4 figures (eps), LaTex, mbook.cls
dc.identifierhttps://arxiv.org/abs/physics/0209055
dc.identifierhttp://arxiv.org/abs/physics/0209055
dc.identifierMeeting in Physics, v.3 (2002) p.40, Heron Press-Sofia, ISBN 954-580-120-4
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/84912
dc.subjectAtomic and Molecular Clusters
dc.subjectComputational Physics
dc.titleOptimization of molecular clusters configurations using a Genetic Algorithm
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