Fast global optimization of SixHy clusters:: new mutation operators in the cluster genetic algorithm

被引:11
|
作者
Ge, YB [1 ]
Head, JD [1 ]
机构
[1] Univ Hawaii, Dept Chem, Honolulu, HI 96822 USA
关键词
D O I
10.1016/j.cplett.2004.09.040
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
An improved strategy for finding the ab initio global minimum of Si,H, clusters based on a cluster genetic algorithm (CGA) is presented. Four new mutation operators are introduced which better facilitate retention of desirable structural features between the different generations of clusters in the CGA. The new CGA generally finds global minima with fewer energy evaluations and is now able to find the problem global minima for Si14H2O and Si6H6 which were not as readily located by our previous CGA. The new CGA is used to find the global minima for the even larger Si18H24 and Si18H22 clusters. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:107 / 112
页数:6
相关论文
共 50 条
  • [21] A new stochastic search algorithm for global optimization based on mutation operator
    Liu, P
    Cheng, YY
    PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 625 - 629
  • [22] A fast hybrid algorithm for global optimization
    Wang, YJ
    Zhang, JS
    Zhang, YF
    PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 3030 - 3035
  • [23] A global optimization algorithm based on the new filled function method and the genetic algorithm
    Lee, JB
    Lee, BC
    ENGINEERING OPTIMIZATION, 1996, 27 (01) : 1 - 20
  • [24] Global optimization algorithm based on the new filled function method and the genetic algorithm
    Korea Advanced Inst of Science and, Technology, Taejon, Korea, Republic of
    Eng Optim, 1 (1-20):
  • [25] Reactive Power Optimization Based on Genetic Algorithm with New Technique of Mutation
    Eremia, Mircea
    Tawfeeq, Al-Bahrani Layth
    2014 INTERNATIONAL SYMPOSIUM ON FUNDAMENTALS OF ELECTRICAL ENGINEERING (ISFEE), 2014,
  • [26] Global geometry optimization of silicon clusters using the space-fixed genetic algorithm
    Iwamatsu, M
    JOURNAL OF CHEMICAL PHYSICS, 2000, 112 (24): : 10976 - 10983
  • [27] Cluster Analysis for overlapping Clusters using Genetic Algorithm
    Das, Sunanda
    Chaudhuri, Shreya
    Das, Asit K.
    2016 SECOND IEEE INTERNATIONAL CONFERENCE ON RESEARCH IN COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (ICRCICN), 2016, : 6 - 11
  • [28] A genetic algorithm for the structural optimization of Morse clusters
    Roberts, C
    Johnston, RL
    Wilson, NT
    THEORETICAL CHEMISTRY ACCOUNTS, 2000, 104 (02) : 123 - 130
  • [29] A genetic algorithm for the structural optimization of Morse clusters
    Chris Roberts
    Roy L. Johnston
    Nicholas T. Wilson
    Theoretical Chemistry Accounts, 2000, 104 : 123 - 130
  • [30] A New Set of Mutation Operators for Dragonfly Algorithm
    Rohit Salgotra
    Urvinder Singh
    Supreet Singh
    Gurdeep Singh
    Sriparna Saha
    Arabian Journal for Science and Engineering, 2021, 46 : 8761 - 8802