Next Article in Journal
Data-Driven Predictive Modeling of Neuronal Dynamics Using Long Short-Term Memory
Previous Article in Journal
GASP: Genetic Algorithms for Service Placement in Fog Computing Systems
Previous Article in Special Issue
A Novel Virtual Sample Generation Method to Overcome the Small Sample Size Problem in Computer Aided Medical Diagnosing
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Evolutionary Algorithms in Health Technologies

1
School of Biomedical Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
2
Department of Engineering, King’s College London, Strand, London WC2R 2LS, UK
*
Author to whom correspondence should be addressed.
Algorithms 2019, 12(10), 202; https://doi.org/10.3390/a12100202
Submission received: 23 September 2019 / Accepted: 23 September 2019 / Published: 24 September 2019
(This article belongs to the Special Issue Evolutionary Algorithms in Health Technologies)

Abstract

Health technology research brings together complementary interdisciplinary research skills in the development of innovative health technology applications. Recent research indicates that artificial intelligence can help achieve outstanding performance for particular types of health technology applications. An evolutionary algorithm is one of the subfields of artificial intelligence, and is an effective algorithm for global optimization inspired by biological evolution. With the rapidly growing complexity of design issues, methodologies and a higher demand for quality health technology applications, the development of evolutionary computation algorithms for health has become timely and of high relevance. This Special Issue intends to bring together researchers to report the recent findings in evolutionary algorithms in health technology.
Keywords: artificial intelligence; deep learning; evolutionary algorithms; health artificial intelligence; deep learning; evolutionary algorithms; health

Share and Cite

MDPI and ACS Style

Ling, S.H.; Lam, H.K. Evolutionary Algorithms in Health Technologies. Algorithms 2019, 12, 202. https://doi.org/10.3390/a12100202

AMA Style

Ling SH, Lam HK. Evolutionary Algorithms in Health Technologies. Algorithms. 2019; 12(10):202. https://doi.org/10.3390/a12100202

Chicago/Turabian Style

Ling, Sai Ho, and Hak Keung Lam. 2019. "Evolutionary Algorithms in Health Technologies" Algorithms 12, no. 10: 202. https://doi.org/10.3390/a12100202

APA Style

Ling, S. H., & Lam, H. K. (2019). Evolutionary Algorithms in Health Technologies. Algorithms, 12(10), 202. https://doi.org/10.3390/a12100202

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop