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Maurice Clerc (mathematician)

April 13, 2024

Maurice Clerc is a French mathematician.

Maurice Clerc
Born (1949-04-24) April 24, 1949 (age 74)
NationalityFrench
Occupation(s)Mathematician and writer

Early life and education edit

Maurice Marcel Clerc was born on April 24, 1949, in Besançon. He finished his graduate studies and obtained his engineering degree in 1972 from the Institut industriel du Nord (renamed Centrale Lille in 1991).[1]

Professional career edit

Maurice Clerc worked in the Research and Development department of France Télécom.

His early work focused on fuzzy representations.[2][3][4] He was later recognized as a world specialist in particle swarm optimization (PSO)[5][6] jointly with James Kennedy. He is, together with the latter, the lead co-author of the first detailed theoretical analysis of this method,[7] rewarded by IEEE in 2005.[8]

He outlined and demonstrated convergence theorems in a five-dimensional space and, in particular, defined the constriction concept that has since been largely used in the context of PSO.[9][10]

The analysis defines value intervals for the coefficients, which makes it possible to generalize the algorithm to many types of problems. enabling a researcher or an application developer to use the same model, with the same coefficients, without arbitrary limitation of speeds. One can use the same basic code by just defining the objective function of the problem under consideration. This approach is more versatile than previous ones, and is now used in virtually all PSO variants. By the end of 2020 it got more than a thousand citations.[11]

Clerc introduced other innovations in the swarm intelligence paradigm, for example the «Swarm and Queen» approach.[12]

His work on the use of PSO for combinatorial problems, such as the Travelling Salesman Problem (TSP), is particularly innovative in that he completely redefines the concepts of “speed” and “distance” to address these types of problems.[13]

Its definition of the concept of stagnation and the analysis have also led to improvements in the algorithm.[14]

He works with many people around the world, some notable ones being James Kennedy (see above), Riccardo Poli on the XPS (eXtended Particle Swarms)[15] project of the University of Essex, Patrick Siarry (professor at Paris-East Créteil University),[16][17] Mahamed G. H. Omran, professor at the Gulf University for Science and Technology (Adaptive Population-based Simplex),[18][19] and several teacher-researchers in India, including the Indian Institute of Technology (IIT) in Roorkee.[20]

He is involved in updating the Particle Swarm Central site.[21]

Retired since 2004, he remains active in various fields of research, both in PSO related fields and other areas.[22][23] He regularly publishes articles and books, gives keynote speeches in conferences,[24][25] and serves as a director and thesis jury.[26][27] He also occasionally works as an optimization consultant.[28][29]

Publications edit

Books edit

Maurice Clerc is the author of three books:

  • Particle Swarm Optimization[30]
  • Guided Randomness in Optimization[31]
  • Iterative Optimizers[32]

Articles and conference texts edit

  • (2001) "Think locally, act locally: The Way of Life of A2PSO, and Adaptive Particle Swarm Optimizer", France Télécom R&D.
  • "Stagnation Analysis in Particle Swarm Optimisation or What Happens When Nothing Happens", Technical report, University of Essex, 2006.
  • "Why does it work?", International Journal of Computational Intelligence Research 4, n° 2, 2008, p. 79-91.
  • "Beyond Standard Particle Swarm Optimisation", International Journal of Swarm Intelligence Research 4, 2010, p. 46-66.
  • Handbook of Swarm Intelligence, vol. 8, Heidelberg, Springer, 2011 ISBN 978-3-642-26689-8, "From Theory to Practice in Particle Swarm Optimization", p. 3-36.
  • "Cooperation Mechanisms in Particle Swarm Optimisation", Nature Inspired Computing : Theory and Industrial Application, 2013.
  • "List Based Optimisers - Experiments and Open Questions", International Journal of Swarm Intelligence Research, vol. 4(4), 2014.
  • "Total memory optimiser: proof of concept and compromises", International Journal of Swarm Intelligence, vol. 3, 2017.

Notes and references edit

  1. ^ Répertoire des Ingénieurs et scientifiques de France.
  2. ^ Maurice Clerc, François Guérin et Xavier Chanet. « Représentations floues dans un mémoriel ». dans JIOSC (Journées internationales d'Orsay sur les sciences cognitives), édité par CNRS, 211‑22. Orsay, France: CNRS, 1994.
  3. ^ Earl D. Cox; (trad.) Maurice Clerc (1995). "La logique floue pour les affaires et l'industrie". momox-shop. Retrieved 2021-12-28.
  4. ^ Clerc, Maurice (1996). "Déduction en Représentation Floue Hiérarchique. Un exemple". In Cognito. 3.
  5. ^ M. Clerc (2006). Particle Swarm Optimization. Wiley.
  6. ^ Clerc, Maurice (2015). Guided Randomness in Optimization. ISTE.
  7. ^ Clerc, M.; Kennedy, J. (2002). "The particle swarm - explosion, stability, and convergence in a multidimensional complex space". IEEE Transactions on Evolutionary Computation. 6 (1): 58–73. doi:10.1109/4235.985692. ISSN 1089-778X.
  8. ^ "Past Recipients - IEEE Computational Intelligence Society". cis.ieee.org. Retrieved 2021-11-14..
  9. ^ Tripathi, Jay Prakash; Ghoshal, Sanjoy (2017-07-01). "Combining inertia and constriction technique in the PSO applied to fault identification in a hydraulic system". Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 231 (14): 2730–2740. doi:10.1177/0954406216640302. ISSN 0954-4062. S2CID 112219954.
  10. ^ Pranava, G.; Prasad, P. V. (2013). "Constriction Coefficient Particle Swarm Optimization for Economic Load Dispatch with valve point loading effects". 2013 International Conference on Power, Energy and Control (ICPEC). pp. 350–354. doi:10.1109/ICPEC.2013.6527680. ISBN 978-1-4673-6030-2. S2CID 31619417.
  11. ^ Baas, Jeroen; Boyack, Kevin; Ioannidis, John P. A. (2021-10-19). "August 2021 data-update for "Updated science-wide author databases of standardized citation indicators"". Elsevier BV. doi:10.17632/btchxktzyw.3.
  12. ^ Clerc, M. (1999). "The swarm and the queen: Towards a deterministic and adaptive particle swarm optimization". Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406). IEEE. pp. 1951–1957. doi:10.1109/cec.1999.785513. ISBN 0-7803-5536-9. S2CID 119835760.
  13. ^ Clerc, Maurice (2004), "Discrete Particle Swarm Optimization, illustrated by the Traveling Salesman Problem", New Optimization Techniques in Engineering, Studies in Fuzziness and Soft Computing, vol. 141, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 219–239, doi:10.1007/978-3-540-39930-8_8, ISBN 978-3-642-05767-0, S2CID 118681996, retrieved 2021-12-31
  14. ^ Schmitt, Berthold Immanuel (2015). Convergence analysis for particle swarm optimization. ISBN 978-3-944057-30-9. OCLC 908646543.
  15. ^ "XPS Particle Swarm". xps-swarm.essex.ac.uk. Retrieved 2021-11-15.
  16. ^ Siarry, Patrick, ed. (2016). Metaheuristics. doi:10.1007/978-3-319-45403-0. ISBN 978-3-319-45401-6. S2CID 236324444.
  17. ^ Clerc, Maurice; Siarry, Patrick (2004). "Une nouvelle métaheuristique pour l'optimisation difficile : la méthode des essaims particulaires". J3eA. 3: 007. doi:10.1051/bib-j3ea:2004007. ISSN 1638-5705.
  18. ^ Omran, Mahamed G. H.; Clerc, Maurice (2017-08-30). "APS 9: an improved adaptive population-based simplex method for real-world engineering optimization problems". Applied Intelligence. 48 (6): 1596–1608. doi:10.1007/s10489-017-1015-z. ISSN 0924-669X. S2CID 21702634.
  19. ^ "Welcome — Adaptive Population based Simplex". aps-optim.info. Retrieved 2021-11-14.
  20. ^ Bansal, Jagdish Chand; Sharma, Harish; Jadon, Shimpi Singh; Clerc, Maurice (2014-01-01). "Spider Monkey Optimization algorithm for numerical optimization". Memetic Computing. 6 (1): 31–47. doi:10.1007/s12293-013-0128-0. ISSN 1865-9284. S2CID 5714781.
  21. ^ "Particle Swarm Central". particleswarm.info. Retrieved 2021-11-14.
  22. ^ Clerc, Maurice; Dattasharma, Abhi (2014). "Comparisons in optimisation: the Eff-Res approach". International Journal of Swarm Intelligence. 1 (3): 266. doi:10.1504/ijsi.2014.066557. ISSN 2049-4041.
  23. ^ Clerc, Maurice (2020). A general quantum method to solve the graph K-colouring problem.
  24. ^ "SocProS'19". socpros19.scrs.in. Retrieved 2021-11-14.
  25. ^ "Keynote speakers | CIS 2020". www.cis2020.scrs.in. Retrieved 2021-11-14.
  26. ^ Cooren, Yann (2008-11-27). Perfectionnement d'un algorithme adaptatif d'optimisation par essaim particulaire : application en génie médical et en électronique (These de doctorat thesis). Paris Est.
  27. ^ Mauro Sebastian, Innocente (2010). "Development and testing of a particle swarm optimizer to handle hard unconstrained and constrained problems". cronfa.swan.ac.uk. Retrieved 2021-11-15.
  28. ^ Altman, Zwi; Sallem, Soumaya; Nasri, Ridha; Sayrac, Berna; Clerc, Maurice (2014). "Particle swarm optimization for Mobility Load Balancing SON in LTE networks". 2014 IEEE Wireless Communications and Networking Conference Workshops (WCNCW). pp. 172–177. arXiv:1401.6621. doi:10.1109/WCNCW.2014.6934881. ISBN 978-1-4799-3086-9. S2CID 7180985.
  29. ^ Salman, Ayed; Omran, Mahamed G. H.; Clerc, Maurice; Alsharhan, Salah (2016-01-01). "Improving the performance of comprehensive learning particle swarm optimizer". Journal of Intelligent & Fuzzy Systems. 30 (2): 735–746. doi:10.3233/IFS-151794. ISSN 1064-1246.
  30. ^ Clerc, Maurice (2006-01-01). Particle Swarm Optimization. London, UK: ISTE. doi:10.1002/9780470612163. ISBN 978-0-470-61216-3. S2CID 118262007.
  31. ^ Maurice., Clerc (2015). Guided randomness in optimization. Wiley-ISTE. ISBN 978-1-119-13645-3. OCLC 910670595.
  32. ^ Clerc, Maurice (2019-04-08). Iterative Optimizers. Wiley. doi:10.1002/9781119612476. ISBN 978-1-78630-409-4. S2CID 186571664.

External links edit

  • Personal technical site

April 13, 2024
maurice, clerc, mathematician, maurice, clerc, french, mathematician, maurice, clercborn, 1949, april, 1949, nationalityfrenchoccupation, mathematician, writer, contents, early, life, education, professional, career, publications, books, articles, conference, . Maurice Clerc is a French mathematician Maurice ClercBorn 1949 04 24 April 24 1949 age 74 NationalityFrenchOccupation s Mathematician and writer Contents 1 Early life and education 2 Professional career 3 Publications 3 1 Books 3 2 Articles and conference texts 4 Notes and references 5 External linksEarly life and education editMaurice Marcel Clerc was born on April 24 1949 in Besancon He finished his graduate studies and obtained his engineering degree in 1972 from the Institut industriel du Nord renamed Centrale Lille in 1991 1 Professional career editMaurice Clerc worked in the Research and Development department of France Telecom His early work focused on fuzzy representations 2 3 4 He was later recognized as a world specialist in particle swarm optimization PSO 5 6 jointly with James Kennedy He is together with the latter the lead co author of the first detailed theoretical analysis of this method 7 rewarded by IEEE in 2005 8 He outlined and demonstrated convergence theorems in a five dimensional space and in particular defined the constriction concept that has since been largely used in the context of PSO 9 10 The analysis defines value intervals for the coefficients which makes it possible to generalize the algorithm to many types of problems enabling a researcher or an application developer to use the same model with the same coefficients without arbitrary limitation of speeds One can use the same basic code by just defining the objective function of the problem under consideration This approach is more versatile than previous ones and is now used in virtually all PSO variants By the end of 2020 it got more than a thousand citations 11 Clerc introduced other innovations in the swarm intelligence paradigm for example the Swarm and Queen approach 12 His work on the use of PSO for combinatorial problems such as the Travelling Salesman Problem TSP is particularly innovative in that he completely redefines the concepts of speed and distance to address these types of problems 13 Its definition of the concept of stagnation and the analysis have also led to improvements in the algorithm 14 He works with many people around the world some notable ones being James Kennedy see above Riccardo Poli on the XPS eXtended Particle Swarms 15 project of the University of Essex Patrick Siarry professor at Paris East Creteil University 16 17 Mahamed G H Omran professor at the Gulf University for Science and Technology Adaptive Population based Simplex 18 19 and several teacher researchers in India including the Indian Institute of Technology IIT in Roorkee 20 He is involved in updating the Particle Swarm Central site 21 Retired since 2004 he remains active in various fields of research both in PSO related fields and other areas 22 23 He regularly publishes articles and books gives keynote speeches in conferences 24 25 and serves as a director and thesis jury 26 27 He also occasionally works as an optimization consultant 28 29 Publications editBooks edit Maurice Clerc is the author of three books Particle Swarm Optimization 30 Guided Randomness in Optimization 31 Iterative Optimizers 32 Articles and conference texts edit 2001 Think locally act locally The Way of Life of A2PSO and Adaptive Particle Swarm Optimizer France Telecom R amp D Stagnation Analysis in Particle Swarm Optimisation or What Happens When Nothing Happens Technical report University of Essex 2006 Why does it work International Journal of Computational Intelligence Research 4 n 2 2008 p 79 91 Beyond Standard Particle Swarm Optimisation International Journal of Swarm Intelligence Research 4 2010 p 46 66 Handbook of Swarm Intelligence vol 8 Heidelberg Springer 2011 ISBN 978 3 642 26689 8 From Theory to Practice in Particle Swarm Optimization p 3 36 Cooperation Mechanisms in Particle Swarm Optimisation Nature Inspired Computing Theory and Industrial Application 2013 List Based Optimisers Experiments and Open Questions International Journal of Swarm Intelligence Research vol 4 4 2014 Total memory optimiser proof of concept and compromises International Journal of Swarm Intelligence vol 3 2017 Notes and references edit Repertoire des Ingenieurs et scientifiques de France Maurice Clerc Francois Guerin et Xavier Chanet Representations floues dans un memoriel dans JIOSC Journees internationales d Orsay sur les sciences cognitives edite par CNRS 211 22 Orsay France CNRS 1994 Earl D Cox trad Maurice Clerc 1995 La logique floue pour les affaires et l industrie momox shop Retrieved 2021 12 28 Clerc Maurice 1996 Deduction en Representation Floue Hierarchique Un exemple In Cognito 3 M Clerc 2006 Particle Swarm Optimization Wiley Clerc Maurice 2015 Guided Randomness in Optimization ISTE Clerc M Kennedy J 2002 The particle swarm explosion stability and convergence in a multidimensional complex space IEEE Transactions on Evolutionary Computation 6 1 58 73 doi 10 1109 4235 985692 ISSN 1089 778X Past Recipients IEEE Computational Intelligence Society cis ieee org Retrieved 2021 11 14 Tripathi Jay Prakash Ghoshal Sanjoy 2017 07 01 Combining inertia and constriction technique in the PSO applied to fault identification in a hydraulic system Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 231 14 2730 2740 doi 10 1177 0954406216640302 ISSN 0954 4062 S2CID 112219954 Pranava G Prasad P V 2013 Constriction Coefficient Particle Swarm Optimization for Economic Load Dispatch with valve point loading effects 2013 International Conference on Power Energy and Control ICPEC pp 350 354 doi 10 1109 ICPEC 2013 6527680 ISBN 978 1 4673 6030 2 S2CID 31619417 Baas Jeroen Boyack Kevin Ioannidis John P A 2021 10 19 August 2021 data update for Updated science wide author databases of standardized citation indicators Elsevier BV doi 10 17632 btchxktzyw 3 Clerc M 1999 The swarm and the queen Towards a deterministic and adaptive particle swarm optimization Proceedings of the 1999 Congress on Evolutionary Computation CEC99 Cat No 99TH8406 IEEE pp 1951 1957 doi 10 1109 cec 1999 785513 ISBN 0 7803 5536 9 S2CID 119835760 Clerc Maurice 2004 Discrete Particle Swarm Optimization illustrated by the Traveling Salesman Problem New Optimization Techniques in Engineering Studies in Fuzziness and Soft Computing vol 141 Berlin Heidelberg Springer Berlin Heidelberg pp 219 239 doi 10 1007 978 3 540 39930 8 8 ISBN 978 3 642 05767 0 S2CID 118681996 retrieved 2021 12 31 Schmitt Berthold Immanuel 2015 Convergence analysis for particle swarm optimization ISBN 978 3 944057 30 9 OCLC 908646543 XPS Particle Swarm xps swarm essex ac uk Retrieved 2021 11 15 Siarry Patrick ed 2016 Metaheuristics doi 10 1007 978 3 319 45403 0 ISBN 978 3 319 45401 6 S2CID 236324444 Clerc Maurice Siarry Patrick 2004 Une nouvelle metaheuristique pour l optimisation difficile la methode des essaims particulaires J3eA 3 007 doi 10 1051 bib j3ea 2004007 ISSN 1638 5705 Omran Mahamed G H Clerc Maurice 2017 08 30 APS 9 an improved adaptive population based simplex method for real world engineering optimization problems Applied Intelligence 48 6 1596 1608 doi 10 1007 s10489 017 1015 z ISSN 0924 669X S2CID 21702634 Welcome Adaptive Population based Simplex aps optim info Retrieved 2021 11 14 Bansal Jagdish Chand Sharma Harish Jadon Shimpi Singh Clerc Maurice 2014 01 01 Spider Monkey Optimization algorithm for numerical optimization Memetic Computing 6 1 31 47 doi 10 1007 s12293 013 0128 0 ISSN 1865 9284 S2CID 5714781 Particle Swarm Central particleswarm info Retrieved 2021 11 14 Clerc Maurice Dattasharma Abhi 2014 Comparisons in optimisation the Eff Res approach International Journal of Swarm Intelligence 1 3 266 doi 10 1504 ijsi 2014 066557 ISSN 2049 4041 Clerc Maurice 2020 A general quantum method to solve the graph K colouring problem SocProS 19 socpros19 scrs in Retrieved 2021 11 14 Keynote speakers CIS 2020 www cis2020 scrs in Retrieved 2021 11 14 Cooren Yann 2008 11 27 Perfectionnement d un algorithme adaptatif d optimisation par essaim particulaire application en genie medical et en electronique These de doctorat thesis Paris Est Mauro Sebastian Innocente 2010 Development and testing of a particle swarm optimizer to handle hard unconstrained and constrained problems cronfa swan ac uk Retrieved 2021 11 15 Altman Zwi Sallem Soumaya Nasri Ridha Sayrac Berna Clerc Maurice 2014 Particle swarm optimization for Mobility Load Balancing SON in LTE networks 2014 IEEE Wireless Communications and Networking Conference Workshops WCNCW pp 172 177 arXiv 1401 6621 doi 10 1109 WCNCW 2014 6934881 ISBN 978 1 4799 3086 9 S2CID 7180985 Salman Ayed Omran Mahamed G H Clerc Maurice Alsharhan Salah 2016 01 01 Improving the performance of comprehensive learning particle swarm optimizer Journal of Intelligent amp Fuzzy Systems 30 2 735 746 doi 10 3233 IFS 151794 ISSN 1064 1246 Clerc Maurice 2006 01 01 Particle Swarm Optimization London UK ISTE doi 10 1002 9780470612163 ISBN 978 0 470 61216 3 S2CID 118262007 Maurice Clerc 2015 Guided randomness in optimization Wiley ISTE ISBN 978 1 119 13645 3 OCLC 910670595 Clerc Maurice 2019 04 08 Iterative Optimizers Wiley doi 10 1002 9781119612476 ISBN 978 1 78630 409 4 S2CID 186571664 External links edit nbsp Mathematics portalPersonal technical site Retrieved from https en wikipedia org w index php title Maurice Clerc mathematician amp oldid 1218525344, wikipedia, wiki, book, books, library,

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