Applications of Evolutionary Computation

Antonio M. Mora, Giovanni Squillero, C Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, F Fernández De Vega, G A Di Caro, R. Drechsler, A Ekárt, Anna I. Esparcia-Alcázar, M Farooq, W B Langdon, J.J. Merelo-Guervós, M Preuss, O.-M.H. Richter, Sara Silva, A Sim$\$~oes, Giovanni Squillero, Ernesto TarantinoAndrea G B Tettamanzi, J Togelius, Neil Urquhart, A S Uyar, G N Yannakakis, Stephen L Smith, Marco Caserta, Adriana Ramirez, Stefan Voß, Giovanni Squillero, Paolo Burelli, Antonio M. Mora, Giovanni Squillero, Mathieu Jan, M Matthias, C Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, F Fernández De Vega, G A Di Caro, R. Drechsler, A Ekárt, Anna I. Esparcia-Alcázar, M Farooq, W B Langdon, J.J. Merelo-Guervós, M Preuss, O.-M.H. Richter, Sara Silva, A Sim$\$~oes, Giovanni Squillero, Ernesto Tarantino, Andrea G B Tettamanzi, J Togelius, Neil Urquhart, A S Uyar, G N Yannakakis, Marco Caserta, Adriana Ramirez, Stefan Voß, Giovanni Squillero, Paolo Burelli, Anna I Esparcia-Alcazar, Sara Silva, Alexandros Agapitos, Carlos Cotta, Ivanoe De Falco, Antonio Della Cioppa, Konrad Diwold, Aniko Ekart, Ernesto Tarantino, Francisco Fernandez De Vega, Paolo Burelli, Kevin Sim, Stefano Cagnoni, Anabela Simoes, J.J. Merelo, Neil Urquhart, Evert Haasdijk, Mengjie Zhang, Giovanni Squillero, A E Eiben, Andrea G B Tettamanzi, Kyrre Glette, Philipp Rohlfshagen, Robert Schaefer, Marco Caserta, Adriana Ramirez, Stefan Voß

Research output: Book / ReportBookAcademicpeer-review

Abstract

The application of genetic and evolutionary computation to problems in medicine has increased rapidly over the past five years, but there are specific issues and challenges that distinguish it from other real-world applications. Obtaining reliable and coherent patient data, establishing the clinical need and demonstrating value in the results obtained are all aspects that require careful and detailed consideration. This tutorial is based on research which uses genetic programming (a representation of Cartesian Genetic Programming) in the diagnosis and monitoring of Parkinson's disease, Alzheimer's disease and other neurodegenerative conditions, as well as in the early detection of breast cancer through automated assessment of mammograms. The work is supported by multiple clinical studies in progress in the UK (Leeds General Infirmary), USA (UCSF), UAE (Dubai Rashid Hospital), Australia (Monash Medical Center) and Singapore (National Neuroscience Institute). The technology is protected through three patent applications and a University spin-out company marketing four medical devices. The tutorial considers the following topics: Introduction to medical applications of genetic and evolutionary computation and how these differ from other real-world applications Overview of past work in the from a medical and evolutionary computation point of view Three case examples of medical applications: i. diagnosis and monitoring of Parkinson's disease ii. detection of beast cancer from mammograms iii. cancer screening using Raman spectroscopy Practical advice on how to get started working on medical applications, including existing medical databases and conducting new medical studies, commercialization and protecting intellectual property. Summary, further reading and links
Original languageEnglish
PublisherSpringer International Publishing Switzerland
Number of pages29
Volume9028
ISBN (Print)978-3-642-12241-5
DOIs
Publication statusPublished - 2015

Keywords

  • agent-based model
  • algorithm analysis and problem complexity
  • artificial intelligence (incl. robotics)
  • ary algorithm
  • battery energy storage system
  • bioinspired methods
  • cartesian genetic programming
  • closed-loop control
  • computer applications
  • conformity
  • data mining and knowledge discovery
  • emergent
  • energy management system
  • evolution-
  • game theory
  • genetic algorithms
  • genetic programming
  • mathematics of computing
  • pattern recognition
  • smart building

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