Evolutionary Algorithms in Health Technologies
by
Sai Ho Ling 1,*
and Hak Keung Lam 2
Sai Ho Ling 1,* and Hak Keung Lam 2
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
Received: 23 September 2019 / Accepted: 23 September 2019 / Published: 24 September 2019
(This article belongs to the Special Issue Evolutionary Algorithms in Health Technologies)
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.
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MDPI and ACS Style
Ling, S.H.; Lam, H.K. Evolutionary Algorithms in Health Technologies. Algorithms 2019, 12, 202.
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