Particle Swarm Optimization applied to the atomic cluster optimization problem
作者： R. J. W. Hodgson
DOI:
关键词: Algorithm 、 Optimization problem 、 Multi-swarm optimization 、 Simple (abstract algebra) 、 Meta-optimization 、 Particle swarm optimization 、 Mathematical optimization 、 Energy (signal processing) 、 Derivative-free optimization 、 Metaheuristic 、 Mathematics
摘要: The Particle Swarm Optimization method has proven quite successful in treating a variety of applied problems. Here we further test its capabilities by studying behavior when to challenging problem, namely the search for energy conformations atomic clusters. In simplest form this is known as Lennard-Jones Problem. Results are compared with those achieved using simple Genetic Algorithms.
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