A NEW APPROACH TO GENETIC BASED MACHINE LEARNING FOR EFFICIENT LOCAL IMPROVEMENT AND ITS APPLICATION TO A GRAPHIC PROBLEM

Authors
FURUHASHI T MIYATA Y UCHIKAWA Y
Citation
T. Furuhashi et al., A NEW APPROACH TO GENETIC BASED MACHINE LEARNING FOR EFFICIENT LOCAL IMPROVEMENT AND ITS APPLICATION TO A GRAPHIC PROBLEM, Information sciences, 103(1-4), 1997, pp. 87-100
Citations number
12
Categorie Soggetti
Information Science & Library Science","Computer Science Information Systems
Journal title
Information sciences → ACNP
ISSN journal
00200255
Volume
103
Issue
1-4
Year of publication
1997
Pages
87 - 100
Database
ISI
SICI code
0020-0255(1997)103:1-4<87:ANATGB>2.0.ZU;2-U
Abstract
This paper presents a new approach to genetic based machine learning ( GBML). The new approach utilizes mechanisms of genetic recombination i n bacterial genetics. The new approach is efficient in improving local portions of chromosomes. A simulation of a simple graphic problem usi ng the new approach is done and the effectiveness of the new approach is shown. (C) Elsevier Science Inc. 1997.