Home // FUTURE COMPUTING 2016, The Eighth International Conference on Future Computational Technologies and Applications // View article
Use of RBM for Identifying Linkage Structures of Genetic Algorithms
Authors:
Hisashi Handa
Keywords: Genetic Algorithms; Linkage Identification; Restricted Boltzmann Machines.
Abstract:
Linkage Identification is quite important issue in Genetic Algorithm studies. If we found linkage structures, we can improve coding methods, genetic operations. In this study, the Restricted Boltzmann Machine (RBM) is used to represent linkage structures. The learning data of the RBM is generated by using Linkage Identification by non-Linearity Check. After the learning of the RBM, the activation values of the neurons in the hidden layer and corresponding inputs are visualized. We can easily find out linkage structures by using the resultant images.
Pages: 41 to 46
Copyright: Copyright (c) IARIA, 2016
Publication date: March 20, 2016
Published in: conference
ISSN: 2308-3735
ISBN: 978-1-61208-461-9
Location: Rome, Italy
Dates: from March 20, 2016 to March 24, 2016