Welcome to the InfoSci Platform
Reference Hub8
Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm

Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm

Valter A. F. Barbosa, Reiga R. Ribeiro, Allan R. S. Feitosa, Victor L. B. A. Silva, Arthur D. D. Rocha, Rafaela C. Freitas, Ricardo E. Souza, Wellington P. Santos
Copyright: © 2017 |Volume: 8 |Issue: 2 |Pages: 17
ISSN: 1947-9263|EISSN: 1947-9271|EISBN13: 9781522513544|DOI: 10.4018/IJSIR.2017040102
Cite Article Cite Article

MLA

Barbosa, Valter A. F., et al. "Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm." IJSIR vol.8, no.2 2017: pp.17-33. http://doi.org/10.4018/IJSIR.2017040102

APA

Barbosa, V. A., Ribeiro, R. R., Feitosa, A. R., Silva, V. L., Rocha, A. D., Freitas, R. C., Souza, R. E., & Santos, W. P. (2017). Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm. International Journal of Swarm Intelligence Research (IJSIR), 8(2), 17-33. http://doi.org/10.4018/IJSIR.2017040102

Chicago

Barbosa, Valter A. F., et al. "Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm," International Journal of Swarm Intelligence Research (IJSIR) 8, no.2: 17-33. http://doi.org/10.4018/IJSIR.2017040102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Electrical Impedance Tomography (EIT) is a noninvasive imaging technique that does not use ionizing radiation, with application both in environmental sciences and in health. Image reconstruction is performed by solving an inverse problem and ill-posed. Evolutionary Computation and Swarm Intelligence have become a source of methods for solving inverse problems. Fish School Search (FSS) is a promising search and optimization method, based on the dynamics of schools of fish. In this article the authors present a method for reconstruction of EIT images based on FSS and Non-Blind Search (NBS). The method was evaluated using numerical phantoms consisting of electrical conductivity images with subjects in the center, between the center and the edge and on the edge of a circular section, with meshes of 415 finite elements. The authors performed 20 simulations for each configuration. Results showed that both FSS and FSS-NBS were able to converge faster than genetic algorithms.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.