An Extension of Gene Expression Programming with Hybrid Selection

被引：4

作者：

Liu, Julie Yu-Chih ^{[1
]}

Chen, Jeng-Her Alex ^{[1
]}

Chiu, Chiang-Tien ^{[1
]}

Hsieh, Juo-Chiang ^{[1
]}

机构：

[1] Yuan Ze Univ, Dept Informat Management, Tau Yuan 32003, Taiwan

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES AND ENGINEERING SYSTEMS (ICITES2013) | 2014年 / 293卷

关键词：

Evolutionary algorithm; Gene expression programming; Hybrid selection; Local optimum;

D O I：

10.1007/978-3-319-04573-3_79

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Premature convergence and suboptimal solutions are inevitable problems for evolutionary algorithms, such as Gene Expression Programming (GEP). This study proposes an extension of GEP which includes a hybrid selection method and a diversity maintenance mechanism to release local optimum of the GEP algorithm. The hybrid selection involves the Clonal selection and the Roulette wheel method. The experimental results show that the proposed algorithm outperforms Ferreira's GEP algorithm.

引用

页码：635 / 641

页数：7

共 50 条

[21] Code Reuse in Gene Expression Programming
Li Qu
Yao Min
Wang Weihong
Du Yanye
INTELLIGENT STRUCTURE AND VIBRATION CONTROL, PTS 1 AND 2, 2011, 50-51 : 13 - +
[22] Gene Expression Programming for Quantum Computing
Alvarez, Gonzalo
Bennink, Ryan
Irle, Stephan
Jakowski, Jacek
ACM TRANSACTIONS ON QUANTUM COMPUTING, 2023, 4 (04):
[23] Gene expression programming with DAG chromosome
Quan, Hui-yun
Yang, Guangyi
ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS, 2007, 4683 : 271 - +
[24] Rule discovery with Gene Expression Programming
Wu, Qinghua
Wang, Dianhong
PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS, 2007, : 479 - 482
[25] Generating Plants with Gene Expression Programming
Venter, Johannes
Hardy, Alexandre
AFRIGRAPH 2007: 5TH INTERNATIONAL CONFERENCE ON VIRTUAL REALITY, COMPUTER GRAPHICS, VISUALIZATION AND INTERACTION IN AFRICA, 2007, : 159 - 167
[26] Gene expression programming with multiple chromosomes
Wang, Bo
Yao, Min
Zhu, Rong
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2011, 14 (04) : 235 - 241
[27] Gene Expression Programming and Trading Strategies
Sermpinis, Georgios
Fountouli, Anastasia
Theofilatos, Konstantinos
Karathanasopoulos, Andreas
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2013, 2013, 412 : 497 - 505
[28] Multicellular Gene Expression Programming-Based Hybrid Model for Precipitation Prediction Coupled with EMD
Li, Hongya
Peng, Yuzhong
Deng, Chuyan
Pan, Yonghua
Gong, Daoqing
Zhang, Hao
INTELLIGENT COMPUTING THEORIES AND APPLICATION, PT I, 2018, 10954 : 207 - 218
[29] A Hybrid Logistic Regression: Gene Expression Programming Model and Its Application to Mineral Prospectivity Mapping
Fan Xiao
Weilin Chen
Jun Wang
Oktay Erten
Natural Resources Research, 2022, 31 : 2041 - 2064
[30] Prediction of pavement roughness using a hybrid gene expression programming-neural network technique
Mehran Mazari
Daniel D.Rodriguez
Journal of Traffic and Transportation Engineering(English Edition), 2016, (05) : 448 - 455

← 1 2 3 4 5 →