Multimodal optimization in the context of Sparse Component Analysis

In this work, we investigate the use of a multimodal search framework to deal with a representative formulation of the Sparse Component Analysis (SCA) problem. The proposed method, which employs an artificial immune network in the role of multimodal optimization tool, is explained and tested in diff...

Full description

Saved in:
Bibliographic Details
Main Authors: Nadalin, E. Z., Boccato, L., Attux, R., Duarte, L. T., Lopes, A., Romano, J. M. T., Suyama, R.
Format: Conference Proceeding
Language:English
Subjects:
artificial immune systems
Cloning
Context
Estimation
Immune system
multimodal optimization
Optimization
Sensors
Source separation
sparse component analysis
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this work, we investigate the use of a multimodal search framework to deal with a representative formulation of the Sparse Component Analysis (SCA) problem. The proposed method, which employs an artificial immune network in the role of multimodal optimization tool, is explained and tested in different scenarios. The results are promising and indicate the relevance of using global search tool in SCA, as well as the soundness of the immune-inspired proposal.
DOI:10.1109/CIMSIVP.2011.5949237