Function optimization based on immune clone with Baldwinian efficiency and periodically mutation

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (32): 51-53.

• 研究、探讨 • Previous Articles Next Articles

Function optimization based on immune clone with Baldwinian efficiency and periodically mutation

ZHANG Minhui1，GAO Xiaoling1，YANG Jian2

1.School of Computer Science，Sichuan College of Education，Chengdu 611130，China
2.Chengdu College，University of Electronic Science and Technology of China，Chengdu 611713，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-11-11 Published:2011-11-11

结合Baldwinian效应和周期变异的免疫函数优化

张敏辉1，高晓玲1，杨剑2

1.四川教育学院计算机科学系，成都 611130
2.电子科技大学成都学院，成都 611713

Abstract

Abstract: In order to improve the search ability of the immune clone algorithm，a method with Baldwinian efficiency and periodically mutation is proposed based on immune mechanism and periodical evolution of organism.And receptor editing is used to ensure the antibody diversity for avoiding local optimal.The function optimization based experiments show that the algorithm has better effectiveness and rapid convergence.

Key words: artificial immune system, clone selection, function optimization, Baldwinian efficiency, periodically mutation

摘要： 为了有效提高免疫克隆算法的搜索能力，借鉴生物免疫系统的Baldwinian效应及生物进化的周期性，提出了一种融入Baldwinian正向学习和周期变化变异算子的克隆优化方法，并使用受体编辑保证抗体的多样性，避免局部最优。通过函数测试问题对算法进行了仿真，结果表明，该算法具有较快的收敛速度和求解精度。

关键词: 人工免疫系统, 克隆选择, 函数优化, Baldwinian效应, 周期变异

ZHANG Minhui1，GAO Xiaoling1，YANG Jian2. Function optimization based on immune clone with Baldwinian efficiency and periodically mutation[J]. Computer Engineering and Applications, 2011, 47(32): 51-53.

张敏辉1，高晓玲1，杨剑2. 结合Baldwinian效应和周期变异的免疫函数优化[J]. 计算机工程与应用, 2011, 47(32): 51-53.

[1]	WANG Lili, SHEN Yi, XU Yusong, YUAN Mingxin. Clonal Selection Algorithm Combining Cloud Model and Reverse Learning [J]. Computer Engineering and Applications, 2021, 57(17): 68-74.
[2]	WEI Fengtao, SHI Yunpeng, SHI Kun. Backtracking Search Optimization Algorithm with Combined Mutation Strategy [J]. Computer Engineering and Applications, 2020, 56(9): 41-47.
[3]	XU Hanyu, FENG Xiang, YU Huiqun. Novel Optimization Algorithm Based on Universal Gravitational and Colon State Adaptation [J]. Computer Engineering and Applications, 2020, 56(9): 48-55.
[4]	CHEN Zhongyun, ZHANG Damin, XIN Ziyun, ZHANG Huijuan, YAN Wei. Salp Swarm Algorithm Using Chaotic and Elite Centroid Stretching Mechanism [J]. Computer Engineering and Applications, 2020, 56(10): 44-50.
[5]	TAN Qing, HUANG Zhangcan. Krill Herd with Nearest Neighbor Lasso Operator [J]. Computer Engineering and Applications, 2019, 55(9): 124-129.
[6]	BAI Chuang, CHEN Xiang. Research on New LeNet-FC Convolutional Neural Network Model Algorithm [J]. Computer Engineering and Applications, 2019, 55(5): 105-111.
[7]	LIU Xi1, MAO Li1, YANG Hong2. Fireworks Optimization Algorithm Based on Leading Differential Evolution Chemotaxis Operator [J]. Computer Engineering and Applications, 2019, 55(3): 140-146.
[8]	GU Qinghua, MENG Qianqian. Hybrid Particle Swarm Optimization and Pigeon-Inspired Optimization Algorithm for Solving Complex Functions [J]. Computer Engineering and Applications, 2019, 55(22): 46-52.
[9]	DANG Tingting, LIN Dan. Spider Monkey Optimization Algorithm with Dynamic Self-Adaptive Inertia Weight [J]. Computer Engineering and Applications, 2019, 55(14): 40-47.
[10]	WEI Fengtao, YUE Mingjuan, ZHENG Jianming. Improved artificial bee colony algorithm based on multi-strategy fusion [J]. Computer Engineering and Applications, 2018, 54(5): 111-116.
[11]	XU Chenhua1, LI Chengxian1, YU Xin2, HUANG Qingbao1. Improved grey wolf optimization algorithm based on chaotic Cat mapping and Gaussian mutation [J]. Computer Engineering and Applications, 2017, 53(4): 1-9.
[12]	WU Weimin, WU Wangyang, LIN Zhiyi, LI Zexiong, FANG Dianyu. Dragonfly algorithm based on enhancing exchange of individuals’ information [J]. Computer Engineering and Applications, 2017, 53(4): 10-14.
[13]	WANG Li1, WANG Xiaokai2 . Improved social spider optimization algorithm for multimodal function optimization [J]. Computer Engineering and Applications, 2017, 53(3): 1-6.
[14]	ZHANG Weicun1, ZHAO Xiaoqiao1, YU Wanxia2. Adaptive artificial bee algorithm with role transformation [J]. Computer Engineering and Applications, 2017, 53(14): 117-122.
[15]	WANG Jinye, MA Liang, LIU Yong. Modified Optics Inspired Optimization and its application in function optimization [J]. Computer Engineering and Applications, 2017, 53(12): 58-62.

Function optimization based on immune clone with Baldwinian efficiency and periodically mutation

结合Baldwinian效应和周期变异的免疫函数优化

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics