Articles you may be interested inStructural optimization of molecular clusters with density functional theory combined with basin hopping J. Chem. Phys. 137, 134106 (2012); 10.1063/1.4755994The structure of 4-methylphenol and its water cluster revealed by rotationally resolved UV spectroscopy using a genetic algorithm approach J. Chem. Phys. 123, 044304 (2005); 10. 1063/1.1961615 Global optimization analysis of water clusters ( H 2 O ) n (11n13) through a genetic evolutionary approach Global geometry optimization of silicon clusters using the space-fixed genetic algorithm -, three-, and four-level systems using a genetic algorithm approachWe have carried out potential energy minimization calculations on benzene, naphthalene, and anthracene clusters using model potential energy functions. The primary purpose was to examine several techniques which use concepts from the field of genetic algorithms ͑GA͒. In particular, we compared the ''traditional GA'' in which the variables of the problem are coded into binary and genetic operations performed on these, and recent methods which use real-valued variables. Our primary technique, the ''space-fixed modified GA'' ͑SFMGA͒, also uses a conjugate gradient descent on the geometries generated by the GA. Our results show the convergence to the global minimum is greatly improved by the use of the descent minimization. In fact, it appears unlikely that the traditional GA's are useful for any but the very simplest clusters. We have also compared the SFMGA with simulated annealing ͑SA͒ and Wales and Doye's recent basin-hopping ͑BH͒ technique. We find our method to be superior to SA, and comparable to BH.