A New Method for Simplifying Algebraic Expressions in Genetic Programming Called Equivalent Decision Simplification

被引：5

作者：

Mori, Naoki ^{[1
]}

McKay, Bob ^{[2
]}

Hoai, Nguyen Xuan ^{[2
]}

Essam, Daryl ^{[3
]}

Takeuchi, Saori ^{[4
]}

机构：

[1] Osaka Prefecture Univ, Osaka, Japan

[2] Seoul Natl Univ, Seoul, South Korea

[3] Univ New South Wales ADFA, Canberra, ACT, Australia

[4] Mitsubishi Electr Corp, Amagasaki, Hyogo, Japan

来源：

JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | 2009年 / 13卷 / 03期

关键词：

genetic programming; subtree entropy; equivalent decision simplification; diversity;

D O I：

10.20965/jaciii.2009.p0237

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Symbolic Regression is one of the most important applications of Genetic Programming, but suffers from one of the key issues in Genetic Programming, bloat. For a variety of reasons, reliable techniques to remove bloat are highly desirable. This paper introduces a novel approach of removing bloat, Equivalent Decision Simplification, in which subtrees are evaluated over the set of regression points. The effectiveness of the proposed method is confirmed by computer simulation taking simple Symbolic Regression problems as examples.

引用

页码：237 / 244

页数：8

共 49 条

[31] A new method based on genetic-dynamic programming technique for multiple DNA sequence alignment
Hernández-Hernández, José Crispín
Bonilla-Huerta, Edmundo
Morales-Caporal, Roberto
Lecture Notes in Electrical Engineering, 2011, 98 : 567 - 574
[32] New predictive method for estimation of natural gas hydrate formation temperature using genetic programming
Danial Abooali
Ehsan Khamehchi
Neural Computing and Applications, 2019, 31 : 2485 - 2494
[33] New predictive method for estimation of natural gas hydrate formation temperature using genetic programming
Abooali, Danial
Khamehchi, Ehsan
NEURAL COMPUTING & APPLICATIONS, 2019, 31 (07): : 2485 - 2494
[34] A new method for estimating lithium-ion battery capacity using genetic programming combined model
Yao, Hang
Jia, Xiang
Wang, Bo
Guo, Bo
2019 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-QINGDAO), 2019,
[35] Building Technical Trading System with Genetic Programming: A New Method to Test the Efficiency of Chinese Stock Markets
Hui Qu
Xindan Li
Computational Economics, 2014, 43 : 301 - 311
[36] Building Technical Trading System with Genetic Programming: A New Method to Test the Efficiency of Chinese Stock Markets
Qu, Hui
Li, Xindan
COMPUTATIONAL ECONOMICS, 2014, 43 (03) : 301 - 311
[37] New analytical solution and optimization of a thermocline solar energy storage using differential quadrature method and genetic programming
Ghezelbash, Ghazal
Babaelahi, Mojtaba
Saadatfar, Mandi
JOURNAL OF ENERGY STORAGE, 2022, 52
[38] New learning method for cellular neural networks template based on combination between rough sets and genetic programming
Radwan, E
Tazaki, E
CYBERNETICS AND SYSTEMS, 2005, 36 (04) : 415 - 444
[39] A New Multiple Attribute Decision Making Method Based on Interval-Valued Intuitionistic Fuzzy Sets, Linear Programming Methodology, and the TOPSIS Method
Wang, Cheng-Yi
Chen, Shyi-Ming
2017 NINTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2017, : 260 - 263
[40] New method based on genetic algorithm for reduction of attribution under incomplete decision-making table
Luo, Ke
Ji, Huaimeng
Fu, Ping
Tong, Xiaojiao
ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 3, PROCEEDINGS, 2007, : 406 - +

← 1 2 3 4 5 →