...
首页> 外文期刊>Polyhedron: The International Journal for Inorganic and Organometallic Chemistry >Continuous optimization methods for ground-state searches of spin clusters
【24h】

Continuous optimization methods for ground-state searches of spin clusters

机译:自旋簇基态搜索的连续优化方法

获取原文
获取原文并翻译 | 示例
           

摘要

Computational methods were developed for ground-state searches of Heisenberg model spin clusters in which spin sites were represented by classical spin vectors. Simulated annealing, continuous genetic algorithm, and particle swarm optimization methods were applied for solving the problems. Because the results of these calculations were influenced by the settings of optimization parameters, effective parameter settings were also investigated. The results indicated that a continuous genetic algorithm is the most effective method for ground-state searches of Heisenberg model spin clusters, and that a mutation operator plays an important role in this genetic algorithm. These results provide useful information for solving physically or chemically important continuous optimization problems.
机译:开发了用于Heisenberg模型自旋簇基态搜索的计算方法,其中自旋位点由经典自旋向量表示。解决问题的方法是模拟退火,连续遗传算法和粒子群优化方法。由于这些计算的结果受优化参数设置的影响,因此还研究了有效的参数设置。结果表明,连续遗传算法是海森堡模型自旋簇基态搜索的最有效方法,并且突变算子在该遗传算法中起着重要作用。这些结果为解决物理或化学上重要的连续优化问题提供了有用的信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号