New method in gene expression programming and its application：LFC

doi:10.3778/j.issn.1002-8331.2009.15.021

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (15): 70-71.DOI: 10.3778/j.issn.1002-8331.2009.15.021

• 研发、设计、测试 • Previous Articles Next Articles

New method in gene expression programming and its application：LFC

WANG Yan-chun^1,2

1.College of Information Science and Engineering，Qingdao Agricultural University，Qingdao，Shandong 266109，China
2.College of Mechanical and Electronic Engineering，Northwest A & F University，Yangling，Shaanxi 712100，China

Received:2008-10-09 Revised:2008-12-19 Online:2009-05-21 Published:2009-05-21
Contact: WANG Yan-chun

基因表达式编程的LFC方法及其应用

王艳春^1,2

1.青岛农业大学理学与信息工程学院，山东青岛 266109
2.西北农林科技大学机械与电子工程学院，陕西杨凌 712100

通讯作者: 王艳春

Abstract

Abstract: The basic principle of Gene Expression Programming（GEP） is introduced.A new individual fitness evaluation method with linear complexity to deal with lower spatial temporal efficiency of standard GEP in solving complex problems is proposed.And the strategy of adaptive generation replacement is used in genetic operation.Simulation indicates，compared with standard GEP algorithm，the proposed method can significantly improve solution efficiency without loss of solution quality.

Key words: Gene Expression Programming（GEP）, fitness evaluation, genetic operation

摘要： 介绍了基因表达式编程的基本原理，提出了具有线性复杂度的个体适应度评估方法（LFC），并且在遗传操作中采用自适应代沟替代策略，解决了标准GEP算法在求解复杂问题时时空效率低的问题。仿真表明，与标准GEP算法相比，该算法在不损失解的质量的情况下，求解效率得到明显改善。

关键词: 基因表达式编程, 适应度评价, 遗传操作

WANG Yan-chun^1,2. New method in gene expression programming and its application：LFC[J]. Computer Engineering and Applications, 2009, 45(15): 70-71.

王艳春^1,2. 基因表达式编程的LFC方法及其应用[J]. 计算机工程与应用, 2009, 45(15): 70-71.

[1]	HUANG Zhi1, HE Pei2，3. Open tail gene expression programming [J]. Computer Engineering and Applications, 2016, 52(9): 1-5.
[2]	ZHANG Ke, ZHANG Deping. Fault localization based on gene expression programming [J]. Computer Engineering and Applications, 2016, 52(9): 6-11.
[3]	WANG Bin1, ZHANG Xun2, SHENG Jinfang1, CHEN Xin3, SHI Xiuzhi3. Optimized GEP algorithm and its application in blasting vibration predicting [J]. Computer Engineering and Applications, 2016, 52(22): 212-217.
[4]	WANG Xiao1, HE Pei1，2. New decoding method of GEP [J]. Computer Engineering and Applications, 2012, 48(3): 43-45.
[5]	ZHU Wenbin1, XU Xiaofei2. Safeguard resource optimization based on hybrid PSO [J]. Computer Engineering and Applications, 2012, 48(29): 210-213.
[6]	ZHANG Xue-dong¹，RAO Yuan^2，3，YUAN Chang-an³，ZHAO Chuan-xin^2，4. Improving model accuracy using Gene Expression Programming and Tabu Search [J]. Computer Engineering and Applications, 2009, 45(28): 35-38.
[7]	ZHU Ming-fang. Method of TSP problem based on gene expression programming [J]. Computer Engineering and Applications, 2008, 44(23): 53-55.
[8]	LI Kang-shun^1,2,LIANG Jiu-sheng¹,ZHANG Wen-sheng²,LI Yuan-xiang³. Optimization algorithm for complicated circuit based on GEP [J]. Computer Engineering and Applications, 2008, 44(18): 83-86.
[9]	CHEN Feng¹,CHEN Yue-hui²,ZHANG Jian-zhong³. Stock index modeling using IP based Gene Expression Programming [J]. Computer Engineering and Applications, 2007, 43(26): 227-229.
[10]	,,. a kind of selection-based genetic algorithm(GA_S) [J]. Computer Engineering and Applications, 2007, 43(1期): 70-70.

New method in gene expression programming and its application：LFC

基因表达式编程的LFC方法及其应用

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 10

Recommended Articles

Metrics