Calypso.cn Website Review

CALYPSO (Crystal structure An*LYsis by Particle Swarm Optimization) is an efficient structure prediction method and its same-name computer software. The approach requires only chemical compositions for a given compound to predict stable or metastable structures at given external multi-functional materials (e.g., superhard). The CALYPSO package is protected by the Copyright Protection Center of China with the registration No. 2010SR028200 and clas*ification No. 61000-7500. The success of CALYPSO method is on account of the integration of several major techniques: use of the swarm intelligence and by self-improving structures. Both global and local PSO algorithms have been implemented. The global PSO has the advantage of fast convergence, while local PSO is good at avoiding prema*ure convergence and thus enhance the capability of structures, define nonflying areas, enhance searching efficiency, and divide energy surfaces for local PSO searching. (i) bond characterization matrix technique (ii) atom-centered symmetrical function technique approaches that can deal with large systems. Local structural optimization enables the reduction of noise of energy surfaces and the As an unbiased global optimization method, particle swarm optimization (PSO) is inspired by the choreography of a bird flock and can be viewed as a distributed behavior algorithm that performs multidimensional search (see, e.g., Kennedy & Eberhart 1995). PSO is metaheuristic as it makes few or no as*umptions about the solutions and can search very large spaces of candidate solutions (dubbed as particles) by moving them in the search-space based on efficient algorithms over the particle's position and velocity. “In past several years, PSO has been successfully applied in many research and application areas. It is demonstrated that PSO gets better results in a faster, cheaper way compared with other methods. Another reason that PSO is attractive is that there are few parameters to adjust. One version, with slight variations, works well in a wide