A Two-stage State Transition Algorithm for Constrained Engineering Optimization Problems

A Two-stage State Transition Algorithm for Constrained Engineering Optimization Problems
复制标题

约束工程优化问题的两阶段状态转移算法

DOI:
10.1007/s12555-016-0338-6
复制
发表时间:
2018-04
影响因子:
3.2
通讯作者:
桂卫华
桂卫华
中科院分区:
计算机科学3区
文献类型:
--
作者:
韩洁;阳春华;周晓君;桂卫华

文献摘要

参考文献

被引文献

相似文献

本研究将状态转换算法(STA)应用于约束工程设计优化问题。在分析了罚函数法和可行性偏好法两种常用约束处理方法的优缺点后,提出了一种两阶段策略,即在迭代过程的前期采用可行性偏好法,在迭代过程的后期采用罚函数法。最后,将该算法应用于锌电解生产过程中的三个工程设计基准问题和一个电力调度控制系统优化问题的求解。实验结果表明,该方法得到的最优解无论在收敛性还是精度上都优于文献中的典型方法,具有上级的优点。
In this study, a state transition algorithm (STA) is investigated into constrained engineering design optimization problems. After an analysis of the advantages and disadvantages of two well-known constraint-handling techniques, penalty function method and feasibility preference method, a two-stage strategy is incorporated into STA, in which, the feasibility preference method is adopted in the early stage of an iteration process whilst it is changed to the penalty function method in the later stage. Then, the proposed STA is used to solve three benchmark problems in engineering design and an optimization problem in power-dispatching control system for the electrochemical process of zinc. The experimental results have shown that the optimal solutions obtained by the proposed method are all superior to those by typical approaches in the literature in terms of both convergency and precision.
DOI: 10.1007/s12555-014-0549-7
发表时间: 2016-02
期刊: International Journal of Control, Automation and Systems
影响因子: --
作者:
Y. Minami
通讯作者: Y. Minami
DOI: 10.1016/j.asoc.2012.11.026
发表时间: 2013-05-01
影响因子: 8.7
作者:
Sadollah, Ali;Bahreininejad, Ardeshir;Hamdi, Mohd
通讯作者: Hamdi, Mohd
一种应用于传感器网络定位的动态状态转移算法
DOI: 10.1016/j.neucom.2017.08.010
发表时间: 2015-11
期刊: Neurocomputing
影响因子: 6
作者:
Zhou Xiaojun;Shi Peng;Lim Cheng Chew;Yang Chunhua;Gui Weihua
通讯作者: Gui Weihua
DOI: 10.1080/03052150108940941
发表时间: 2001-08
影响因子: 2.7
作者:
T. Ray;Pankaj Saini
通讯作者: T. Ray;Pankaj Saini
DOI: 10.1109/4235.873238
发表时间: 2000-09-01
影响因子: 14.3
作者:
Runarsson, TP;Yao, X
通讯作者: Yao, X