Research on parallel partheno genetic algorithm based on the immune programming
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Research on parallel partheno genetic algorithm based on the immune programming
Issue 8, Pages: 99-104(2007)
作者机构:
1. 山西师范大学物理与信息工程学院
2. 山西师范大学物理与信息工程学院,山西,临汾,041004
作者简介:
基金信息:
DOI:
CLC:TP18
Published:2007
稿件说明:
移动端阅览
XING Xiao-shuai, HUO Bing-peng. Research on parallel partheno genetic algorithm based on the immune programming[J]. 2007, (8): 99-104.
DOI:
XING Xiao-shuai, HUO Bing-peng. Research on parallel partheno genetic algorithm based on the immune programming[J]. 2007, (8): 99-104.DOI:
Research on parallel partheno genetic algorithm based on the immune programming
摘要
在分析了单亲遗传算法的优越性与存在不足的基础上
借鉴生物免疫概念与理论并结合并行计算的思想
提出了一种新的遗传算法——基于免疫的并行单亲遗传算法。理论分析和仿真结果表明
该算法不仅能够有效地保持群体多样性
而且减轻了遗传算法后期的波动现象
同时收敛速度有明显的提高。
Abstract
A novel algorithm parallel partheno genetic algorithm based on the immune programming(IPPPGA) was proposed
the algorithm analogies to the concept and theory of immunity in biotic science and unifies the parallel compu-tation thought
after analyzing the advantages and disadvantages of the partheno genetic algorithm.The theory analysis and experimental results show that the algorithm not only effectively keeps population diversity
but also alleviates the undulate phenomenon in evolutionary latter stages
meanwhile increases the convergent speed and computational effi-ciency greatly.
M-APSK phase detection algorithm and parallel carrier synchronization method
Fast algorithm and architecture for embedded block coding
Related Author
Hao HUAN
Kexue REN
XIONG Cheng-yi1
HOU Jian-hua1
TIAN Jin-wen1
LIU Jian1
Related Institution
School of Information and Electronics, Beijing Institute of Technology
Institute of Pattern Recognition & Artificial Intelligence, Key Laboratory of Education Ministry for Image Processing and Intelligent Control, Huazhong University of Science & Technology
College of Electronic Information Engineering, South-Center University for Nationalities