Mauricio Resende
Mauricio G. C. Resende(born July 27, 1955 in Maceió, Brazil) is a Brazilian-American research scientist with contributions to the field ofmathematical optimization.He is best known for the development of the metaheuristicsGRASP(greedy randomized adaptive search procedures),[1]and BRKGA (biased random-key genetic algorithms)[2]as well as the first successful implementation ofKarmarkar’s interior point algorithm.[3]
He published over 180 peer-reviewed papers, the book Optimization by GRASP[4]and co-edited five books, including the Handbook of Applied Optimization,[5]the Handbook of Optimization in Telecommunications,[6]the Handbook of Heuristics,[7]and the Handbook of Massive Datasets.[8]Additionally, he gave multiple plenary talks[9]in international conferences and is on the editorial boards of several scientific journals.
Education
[edit]In June 1978, Mauricio G. C. Resende graduated fromPUC-Riowith anElectrical Engineeringdegree with concentration inSystems Engineering.[10]In August 1979, he earned a M.Sc. inoperations researchat theGeorgia Institute of Technology.Later, in August 1987, he earned a Ph.D. in operations research in at theUniversity of California, Berkeley.[11]
Career
[edit]Mauricio G. C. Resende is currently anINFORMSFellow,[12]holds a permanent member position ofDIMACS[13]atRutgers Universityand is an affiliate professor at theUniversity of Washington.[14]Until December 2022, he worked atAmazonas a Principal Research Scientist in the Mathematical Optimization and Planning group.[15]Previously, he was Lead Inventive Scientist atAT&T Bell Labswhere he worked for over a quarter century.
References
[edit]- ^Feo, Thomas A.; Resende, Mauricio G. C. (March 1995)."Greedy Randomized Adaptive Search Procedures".Journal of Global Optimization.6(2): 109–133.doi:10.1007/bf01096763.ISSN0925-5001.S2CID2110014.
- ^Resende, Mauricio G.C.; Ribeiro, Celso C. (2010),"Greedy Randomized Adaptive Search Procedures: Advances, Hybridizations, and Applications",International Series in Operations Research & Management Science,Boston, MA: Springer US, pp. 283–319,doi:10.1007/978-1-4419-1665-5_10,ISBN978-1-4419-1663-1,retrieved2024-01-03
- ^Adler, Ilan; Resende, Mauricio G. C.; Veiga, Geraldo; Karmarkar, Narendra (May 1989)."An implementation of Karmarkar's algorithm for linear programming".Mathematical Programming.44(1–3): 297–335.doi:10.1007/bf01587095.ISSN0025-5610.S2CID12851754.
- ^Resende, Mauricio G. C.; Ribeiro, Celso C. (2016), "GRASP for continuous optimization",Optimization by GRASP,New York, NY: Springer New York, pp. 229–244,doi:10.1007/978-1-4939-6530-4_11,ISBN978-1-4939-6528-1
- ^Resende, Mauricio G. C.; Pardalos, Panos M., eds. (2006).Handbook of Optimization in Telecommunications.doi:10.1007/978-0-387-30165-5.ISBN978-0-387-30662-9.
- ^Resende, Mauricio G. C.; Pardalos, Panos M., eds. (2006).Handbook of Optimization in Telecommunications.doi:10.1007/978-0-387-30165-5.ISBN978-0-387-30662-9.
- ^Martí, Rafael; Pardalos, Panos M.; Resende, Mauricio G. C., eds. (2018).Handbook of Heuristics.Cham: Springer International Publishing.doi:10.1007/978-3-319-07124-4.ISBN978-3-319-07123-7.
- ^Abello, James; Pardalos, Panos M.; Resende, Mauricio G. C., eds. (2002)."Handbook of Massive Data Sets".Massive Computing.4.doi:10.1007/978-1-4615-0005-6.ISBN978-1-4613-4882-5.ISSN1569-2698.S2CID46033589.
- ^"Talks".mauricio.resende.info.Retrieved2024-01-07.
- ^Resende, Mauricio."Education and research interests".Retrieved2024-01-07.
- ^Pang, Eugene (2016-11-07)."IEOR Alum Mauricio G. C. Resende Chosen As INFORMS Fellow For Class Of 2016".UC Berkeley IEOR Department - Industrial Engineering & Operations Research.Retrieved2024-01-07.
- ^INFORMS."Mauricio G. C. Resende".INFORMS.Retrieved2024-01-04.
- ^"DIMACS:: DIMACS Members".dimacs.rutgers.edu.Retrieved2024-01-07.
- ^"Adjunct, Affiliate & Emeritus Faculty".Industrial & Systems Engineering.2015-10-16.Retrieved2024-01-07.
- ^"How Amazon's Middle Mile team helps packages make the journey to your doorstep".Amazon Science.2021-04-22.Retrieved2024-01-07.