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Joshua Knowles

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Joshua Knowles
Knowles in 2023
BornJoshua Damian Knowles
Berkshire, England, UK
🏡 ResidenceUnited Kingdom
🏳️ CitizenshipBritish
🎓 Alma materUniversity of Reading (BSc, PGCE, MSc, PhD)
University of Manchester (FHEA)
💼 Occupation
Known forMultiobjective optimization, Bayesian optimization, Cluster analysis
🏅 AwardsIEEE Transactions on Evolutionary Computation Outstanding Paper Annual Award for work published in 2003, and again in 2006[1]
ACM SigEvo GECCO Impact Award, 2017 [2]
🌐 Websitehttp://www.cs.bham.ac.uk/~jdk/

Joshua Knowles is a British computer scientist who mainly works on evolutionary computation, multiobjective optimization and related fields and applications[4][5][6]. He is a Principal Research Scientist for Schlumberger at the SCR research site in Cambridge[5]. Knowles is also an Honorary Professor in the Decision Sciences Research Centre at the Alliance Manchester Business School[7] and an Honorary Senior Fellow in the School of Computer Science at the University of Birmingham[8]. Knowles is a highly-cited academic author, appearing within the top 20,000 in Elsevier's 2022 science-wide author database of standardized citation indicators (all disciplines, world-wide).[9] In the subdiscipline of AI, he is in the top 3,500 world-wide.[9]

Academic career[edit]

Knowles has been funded by three competitive fellowship awards, the European Commission Marie Sklodowska-Curie Fellowship[10], the BBSRC David Phillips Fellowship (5 years)[11][12], and a University of Manchester Career Development Fellowship. At Manchester, he held the positions of Senior Lecturer and then Reader in the School of Computer Science. He moved to the University of Birmingham in 2015 to take up the role of Professor of Natural Computation[13] which he held until leaving academic research in 2019. He was awarded senior honorary positions at Manchester and Birmingham in 2015 and 2019 respectively.

Research and service[edit]

Knowles is known for work in multiobjective optimization: he is the co-author of the PAES multiobjective local search algorithm (cited by 3,000[14]), the ParEGO multiobjective Bayesian optimization algorithm (cited by 1,000[15]), and the MOCK multiobjective cluster analysis and model selection algorithm (cited by 700[16]). He also co-invented a general problem-transformation technique (similar to a duality), called multiobjectivization[17], and proposed the use of hypervolume as the basis for selection in evolutionary multiobjective optimization (EMO)[18].

Knowles is also a proponent of closed-loop optimization — directly connecting machine learning and optimization algorithms to robotic, chemical, physical, electronic or other devices[19].

Knowles is an editorial board member of the journals, Evolutionary Computation[20] and Swarm Intelligence[21]. He is on the Steering Committee of the Evolutionary Multi-criterion Optimization (EMO) international conference series[22], and has co-chaired and co-organized three international week-long seminars at the Dagstuhl computer science centre in Wadern, German on topics in multiobjective optimization[23][24][25]

Personal life[edit]

Knowles has two children.

Selected research articles[edit]

  • Knowles, Joshua; Corne, David (2000). "Approximating the non-dominated front using the Pareto Archived Evolution Strategy". Evolutionary Computation. MIT Press. 8 (2): 149–172. doi:10.1162/106365600568167. PMID 10843519. Unknown parameter |s2cid= ignored (help) (Cited by 3,000)
  • Knowles, Joshua; Watson, Richard A.; Corne, David W. (2001). "Reducing local optima in single-objective problems by multi-objectivization". Proceedings of the First International Conference on Evolutionary Multi-criterion Optimization (EMO'01). Lecture Notes in Computer Science. 1993: 269–283. doi:10.1007/3-540-44719-9_19. ISBN 978-3-540-41745-3. (Cited by 500)
  • Knowles, Joshua; Corne, David (2003). "Properties of an adaptive archiving algorithm for storing nondominated vectors". IEEE Transactions on Evolutionary Computation. 7 (2): 100–116. doi:10.1109/TEVC.2003.810755. Unknown parameter |s2cid= ignored (help) (Cited by 500)
  • Handl, Julia; Knowles, Joshua (2007). "An evolutionary approach to multiobjective clustering". IEEE Transactions on Evolutionary Computation. 11 (1): 56–76. doi:10.1109/TEVC.2006.877146. Unknown parameter |s2cid= ignored (help) (Cited by 500)
  • Small, Ben G; McColl, Barry W.; Allmendinger, Richard; Pahle, Juergen; Lopez-Castejon, G; Rothwell, Nancy J.; Knowles, Joshua; Mendes, Pedro; Brough, David; Kell, Douglas B. (2011). "Efficient discovery of anti-inflammatory small molecule combinations using evolutionary computing". Nature Chemical Biology. 7 (12): 902–908. doi:10.1038/nchembio.689. PMC 3223407. PMID 22020553.
  • Miller, Steve; Knowles, Joshua (2015). "Population Fluctuation Promotes Cooperation in Networks". Nature Scientific Reports. 5 (11054): 11054. doi:10.1038/srep11054. PMC 4462070. PMID 26061705.
  • Webb, Andrew; Handl, Julia; Knowles, Joshua (2015). "How Much Should You Select for Evolvability?". Proceedings of the European Conference on Artificial Life: 487–494.
  • Lyon, Robert; Stappers, Ben; Cooper, Sally; Brooke, John; Knowles, Joshua (2016). "Fifty Years of Pulsar Candidate Selection: From simple filters to a new principled real-time classification approach". Monthly Notices of the Royal Astronomical Society. 459 (1): 1104–1123. doi:10.1093/mnras/stw656.

References[edit]

  1. http://cis.ieee.org/award-recipients.html#TECOutstandingPaperAward
  2. "SIGEVO Portal and Wiki | SIGEVO Impact Award". SIGEVO Portal and Wiki.
  3. https://www.macs.hw.ac.uk/~dwcorne/
  4. "World's Best Computer Science Scientists: H-Index Computer Science Ranking in United Kingdom 2023". Research.com.
  5. 5.0 5.1 Joshua Knowles publications indexed by Google Scholar
  6. Joshua Knowles publications indexed by the Scopus bibliographic database. (subscription required)
  7. "Professor Joshua Knowles". Alliance Manchester Business School.
  8. "Professor Joshua Knowles". Honorary Staff, University of Birmingham.
  9. 9.0 9.1 Ioannidis, John P. A. (3 November 2022). "September 2022 data-update for "Updated science-wide author databases of standardized citation indicators"". 5. Elsevier BV. doi:10.17632/btchxktzyw.5 – via elsevier.digitalcommonsdata.com.
  10. "Awards - Marie Sklodowska Curie Fellowship". Manchester Research Portal.
  11. "Awards - David Phillips Fellowship". Manchester Research Portal.
  12. "David Phillips Fellowships". Cambridge Biosciences.
  13. "Personal homepage". School of Computer Science, University of Birmingham.
  14. "Google Scholar".
  15. "Google Scholar".
  16. "Google Scholar".
  17. "Google Scholar".
  18. Bader, Johannes M. (13 February 2010). Hypervolume-Based Search for Multiobjective Optimization by Johannes Bader. ISBN 9781450579131. Search this book on
  19. "Closed Loop Evolutionary Multiobjective Optimization article". IEEE Computational Intelligence. doi:10.1109/MCI.2009.933095. Unknown parameter |s2cid= ignored (help)
  20. "MIT Press Evolutionary Computation journal website".
  21. "Editors". Swarm Intelligence (Springer journal).
  22. "The EMO Website". www.emo-online.org.
  23. Wadern, Schloss Dagstuhl-Leibniz-Zentrum für Informatik GmbH, 66687. "Dagstuhl Seminar 12041: Learning in Multiobjective Optimization". www.dagstuhl.de.
  24. Wadern, Schloss Dagstuhl-Leibniz-Zentrum für Informatik GmbH, 66687. "Dagstuhl-Seminar 15031: Understanding Complexity in Multiobjective Optimization". www.dagstuhl.de.
  25. Wadern, Schloss Dagstuhl-Leibniz-Zentrum für Informatik GmbH, 66687. "Dagstuhl Seminar 18031: Personalized Multiobjective Optimization: An Analytics Perspective". www.dagstuhl.de.

External links[edit]


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