Evolutionary Multi-objective Optimization: An Honorary Issue Dedicated to Professor Kalyanmoy Deb
This volume is a reprint of the Honorary Special Issue dedicated to the 60th birthday of Professor Dr. Kalyanmoy Deb, published in the journal Mathematical and Computational Applications (MCA). Kalyanmoy Deb has been a pioneer and highly impactful and influential proponent of Evolutionary Multi-obje...
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| Sprog: | engelsk |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online adgang: | ONIX_20230405_9783036569802_269 |
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| description | This volume is a reprint of the Honorary Special Issue dedicated to the 60th birthday of Professor Dr. Kalyanmoy Deb, published in the journal Mathematical and Computational Applications (MCA). Kalyanmoy Deb has been a pioneer and highly impactful and influential proponent of Evolutionary Multi-objective Optimization (EMO) since 1994. He is currently a Koenig Endowed Chair Professor and University Distinguished Professor in the Department of Electrical and Computer Engineering at Michigan State University, USA, and holds additional appointments in Mechanical Engineering and in Computer Science and Engineering. Professor Deb’s research interests are in evolutionary optimization and its application in multi-objective optimization, modeling, machine learning, and in multi-objective decision making. He has been a visiting professor at various universities across the world, including IITs in India, Aalto University in Finland, the University of Skovde in Sweden, and Nanyang Technological University in Singapore. He was awarded the IEEE Evolutionary Computation Pioneer Award, the Infosys Prize, the TWAS Prize in Engineering Sciences, the CajAstur Mamdani Prize, the Distinguished Alumni Award from IIT Kharagpur, the Edgeworth Pareto Award, the Bhatnagar Prize in Engineering Sciences, and the Bessel Research Award from Germany. He is a fellow of IEEE, ASME, and three Indian science and engineering academies. |
| format | Online |
| id | doab-20.500.12854ir-98990 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-989902024-03-30T12:51:29Z Evolutionary Multi-objective Optimization: An Honorary Issue Dedicated to Professor Kalyanmoy Deb Coello, Carlos Goodman, Erik Miettinen, Kaisa Saxena, Dhish Schütze, Oliver Thiele, Lothar evolutionary multi-objective optimization archiving convergence multi-objective optimization genetic algorithm simple cell mapping rod vibration mass–damper–spring termination impulse response reliability importance sampling scarce data surrogate RBDO MOO NSGA-II auto-configuration and auto-design of metaheuristics large-scale multi-objective optimization real-world problems optimization knowledge discovery reconfigurable manufacturing system simulation multi-criteria decision making interactive optimization grouping genetic algorithm grouping mutation operator grouping problem unrelated parallel-machine scheduling hypervolume indicator newton method evolutionary algorithms constraint handling hypervolume scalarization association rule mining causality measures multi-objective evolutionary algorithm COVID-19 data particle filter transfer learning objectives reduction data mining many objectives multi-objective reliability-based design optimization shifting vector approach reliability analysis chaos control theory differential evolution n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science This volume is a reprint of the Honorary Special Issue dedicated to the 60th birthday of Professor Dr. Kalyanmoy Deb, published in the journal Mathematical and Computational Applications (MCA). Kalyanmoy Deb has been a pioneer and highly impactful and influential proponent of Evolutionary Multi-objective Optimization (EMO) since 1994. He is currently a Koenig Endowed Chair Professor and University Distinguished Professor in the Department of Electrical and Computer Engineering at Michigan State University, USA, and holds additional appointments in Mechanical Engineering and in Computer Science and Engineering. Professor Deb’s research interests are in evolutionary optimization and its application in multi-objective optimization, modeling, machine learning, and in multi-objective decision making. He has been a visiting professor at various universities across the world, including IITs in India, Aalto University in Finland, the University of Skovde in Sweden, and Nanyang Technological University in Singapore. He was awarded the IEEE Evolutionary Computation Pioneer Award, the Infosys Prize, the TWAS Prize in Engineering Sciences, the CajAstur Mamdani Prize, the Distinguished Alumni Award from IIT Kharagpur, the Edgeworth Pareto Award, the Bhatnagar Prize in Engineering Sciences, and the Bessel Research Award from Germany. He is a fellow of IEEE, ASME, and three Indian science and engineering academies. 2023-04-05T13:03:02Z 2023-04-05T13:03:02Z 2023 book ONIX_20230405_9783036569802_269 9783036569802 9783036569819 https://directory.doabooks.org/handle/20.500.12854/98990 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/7055 https://mdpi.com/books/pdfview/book/7055 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6981-9 10.3390/books978-3-0365-6981-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036569802 9783036569819 292 Basel open access |
| spellingShingle | evolutionary multi-objective optimization archiving convergence multi-objective optimization genetic algorithm simple cell mapping rod vibration mass–damper–spring termination impulse response reliability importance sampling scarce data surrogate RBDO MOO NSGA-II auto-configuration and auto-design of metaheuristics large-scale multi-objective optimization real-world problems optimization knowledge discovery reconfigurable manufacturing system simulation multi-criteria decision making interactive optimization grouping genetic algorithm grouping mutation operator grouping problem unrelated parallel-machine scheduling hypervolume indicator newton method evolutionary algorithms constraint handling hypervolume scalarization association rule mining causality measures multi-objective evolutionary algorithm COVID-19 data particle filter transfer learning objectives reduction data mining many objectives multi-objective reliability-based design optimization shifting vector approach reliability analysis chaos control theory differential evolution n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science Evolutionary Multi-objective Optimization: An Honorary Issue Dedicated to Professor Kalyanmoy Deb |
| title | Evolutionary Multi-objective Optimization: An Honorary Issue Dedicated to Professor Kalyanmoy Deb |
| title_full | Evolutionary Multi-objective Optimization: An Honorary Issue Dedicated to Professor Kalyanmoy Deb |
| title_fullStr | Evolutionary Multi-objective Optimization: An Honorary Issue Dedicated to Professor Kalyanmoy Deb |
| title_full_unstemmed | Evolutionary Multi-objective Optimization: An Honorary Issue Dedicated to Professor Kalyanmoy Deb |
| title_short | Evolutionary Multi-objective Optimization: An Honorary Issue Dedicated to Professor Kalyanmoy Deb |
| title_sort | evolutionary multi objective optimization an honorary issue dedicated to professor kalyanmoy deb |
| topic | evolutionary multi-objective optimization archiving convergence multi-objective optimization genetic algorithm simple cell mapping rod vibration mass–damper–spring termination impulse response reliability importance sampling scarce data surrogate RBDO MOO NSGA-II auto-configuration and auto-design of metaheuristics large-scale multi-objective optimization real-world problems optimization knowledge discovery reconfigurable manufacturing system simulation multi-criteria decision making interactive optimization grouping genetic algorithm grouping mutation operator grouping problem unrelated parallel-machine scheduling hypervolume indicator newton method evolutionary algorithms constraint handling hypervolume scalarization association rule mining causality measures multi-objective evolutionary algorithm COVID-19 data particle filter transfer learning objectives reduction data mining many objectives multi-objective reliability-based design optimization shifting vector approach reliability analysis chaos control theory differential evolution n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | evolutionary multi-objective optimization archiving convergence multi-objective optimization genetic algorithm simple cell mapping rod vibration mass–damper–spring termination impulse response reliability importance sampling scarce data surrogate RBDO MOO NSGA-II auto-configuration and auto-design of metaheuristics large-scale multi-objective optimization real-world problems optimization knowledge discovery reconfigurable manufacturing system simulation multi-criteria decision making interactive optimization grouping genetic algorithm grouping mutation operator grouping problem unrelated parallel-machine scheduling hypervolume indicator newton method evolutionary algorithms constraint handling hypervolume scalarization association rule mining causality measures multi-objective evolutionary algorithm COVID-19 data particle filter transfer learning objectives reduction data mining many objectives multi-objective reliability-based design optimization shifting vector approach reliability analysis chaos control theory differential evolution n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20230405_9783036569802_269 |