Document Detail


Evolutionary computation in medicine: an overview.
MedLine Citation:
PMID:  10767613     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The term evolutionary computation encompasses a host of methodologies inspired by natural evolution that are used to solve hard problems. This paper provides an overview of evolutionary computation as applied to problems in the medical domains. We begin by outlining the basic workings of six types of evolutionary algorithms: genetic algorithms, genetic programming, evolution strategies, evolutionary programming, classifier systems, and hybrid systems. We then describe how evolutionary algorithms are applied to solve medical problems, including diagnosis, prognosis, imaging, signal processing, planning, and scheduling. Finally, we provide an extensive bibliography, classified both according to the medical task addressed and according to the evolutionary technique used.
Authors:
C A Peña-Reyes; M Sipper
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Artificial intelligence in medicine     Volume:  19     ISSN:  0933-3657     ISO Abbreviation:  Artif Intell Med     Publication Date:  2000 May 
Date Detail:
Created Date:  2000-06-09     Completed Date:  2000-06-09     Revised Date:  2005-11-16    
Medline Journal Info:
Nlm Unique ID:  8915031     Medline TA:  Artif Intell Med     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  1-23     Citation Subset:  IM    
Affiliation:
Logic Systems Laboratory, Swiss Federal Institute of Technology, IN-Ecublens, CH-1015, Lausanne, Switzerland. carlos.pena@epfl.ch
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Artificial Intelligence*
Evolution*
Genetics
Medical Informatics Computing

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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