Presentation | 2014/6/18 Improvement of Grammatical Evolution by Schemata Operation , |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Grammatical Evolution (GE) is one of the evolutionary computations which is designed for finding function, program or program fragment satisfying the design objective. A simple improvement idea of Grammatical Evolution is presented in this study. Instead of the simple Genetic Algorithm concept, stochastic schemata exploiter concept is employed for the Grammatical Evolution. Effectiveness of the present algorithm is discussed in the symbolic regression problem. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Grammatical Evolution / Schemata Exploiter / Symbolic Regression Problem |
Paper # | Vol.2014-MPS-98 No.23,Vol.2014-BIO-38 No.23 |
Date of Issue |
Conference Information | |
Committee | IBISML |
---|---|
Conference Date | 2014/6/18(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Improvement of Grammatical Evolution by Schemata Operation |
Sub Title (in English) | |
Keyword(1) | Grammatical Evolution |
Keyword(2) | Schemata Exploiter |
Keyword(3) | Symbolic Regression Problem |
1st Author's Name | |
1st Author's Affiliation | Nagoya University() |
Date | 2014/6/18 |
Paper # | Vol.2014-MPS-98 No.23,Vol.2014-BIO-38 No.23 |
Volume (vol) | vol.114 |
Number (no) | 105 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |