首页 | 本学科首页   官方微博 | 高级检索  
     检索      

物种生灭算法
引用本文:杨永建,禚真福,黄柏儒,樊晓光,邓有为,王彪.物种生灭算法[J].系统工程与电子技术,2018,40(4):941-947.
作者姓名:杨永建  禚真福  黄柏儒  樊晓光  邓有为  王彪
作者单位:1. 空军工程大学航空工程学院, 陕西 西安 710038; 2. 中国人民解放军95974部队, 河北 沧州 061000
摘    要:根据生物进化史中已被发现的物种大爆发和大灭绝现象,提出了智能优化算法——物种生灭算法,并对寻优机制进行了详细的描述。该算法借鉴了物种灾变进化理论的思想,通过对物种执行大爆发和大灭绝操作实现寻优,通过引入主支转移和新老物种的衍生能力收缩等策略,达到平衡算法全局寻优能力与局部寻优能力的目的。仿真结果表明该算法具有实现简单、收敛速度快、运行效率高、寻优精度好等优点。


Species explode and deracinate algorithm
YANG Yongjian,ZHUO Zhenfu,HUANG Boru,FAN Xiaoguang,DENG Youwei,WANG Biao.Species explode and deracinate algorithm[J].System Engineering and Electronics,2018,40(4):941-947.
Authors:YANG Yongjian  ZHUO Zhenfu  HUANG Boru  FAN Xiaoguang  DENG Youwei  WANG Biao
Institution:1. Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi’an 710038, China; 2. Unit 95974 of the PLA, Cangzhou 061000, China
Abstract:A simple and effective intelligent optimization algorithm named species explode and deracinate algorithm (SEDA) is proposed based on exploding and deracinating in history of biological evolution. The optimization mechanism of SEDA is described in detail. The algorithm realizes the optimization by making species exploding and deracinating according to species catastrophe evolution theory. To balance the ability of global optimization and local optimization, species strategies such as converting main branch of species and constricting derivative ability are also introduced. Simulation results indicate SEDA is easy to implement, and SEDA has excellent convergence speed and solution quality.
Keywords:
点击此处可从《系统工程与电子技术》浏览原始摘要信息
点击此处可从《系统工程与电子技术》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号