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230515 ||| eng |
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|a 9783036569802
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|a books978-3-0365-6981-9
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|a 9783036569819
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|a Coello, Carlos
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|a Evolutionary Multi-objective Optimization: An Honorary Issue Dedicated to Professor Kalyanmoy Deb
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (292 p.)
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|a grouping genetic algorithm
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|a data mining
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|a NSGA-II
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|a multi-objective reliability-based design optimization
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|a scarce data
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|a MOO
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|a genetic algorithm
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|a n/a
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|a large-scale multi-objective optimization
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|a archiving
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|a association rule mining
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|a shifting vector approach
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|a interactive optimization
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|a knowledge discovery
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|a RBDO
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|a COVID-19 data
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|a simulation
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|a reliability analysis
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|a importance sampling
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|a auto-configuration and auto-design of metaheuristics
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|a objectives reduction
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|a transfer learning
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|a reliability
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|a multi-objective optimization
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|a chaos control theory
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|a Information technology industries / bicssc
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|a particle filter
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|a evolutionary algorithms
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|a differential evolution
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|a hypervolume indicator
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|a constraint handling
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|a reconfigurable manufacturing system
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|a grouping mutation operator
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|a causality measures
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|a Computer science / bicssc
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|a convergence
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|a mass-damper-spring termination
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|a unrelated parallel-machine scheduling
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|a impulse response
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|a rod vibration
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|a evolutionary multi-objective optimization
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|a multi-objective evolutionary algorithm
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|a newton method
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|a grouping problem
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|a simple cell mapping
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|a hypervolume scalarization
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|a multi-criteria decision making
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|a many objectives
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|a surrogate
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|a real-world problems optimization
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|a Goodman, Erik
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|a Miettinen, Kaisa
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|a Saxena, Dhish
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|a eng
|2 ISO 639-2
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|b DOAB
|a Directory of Open Access Books
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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|a 10.3390/books978-3-0365-6981-9
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|u https://www.mdpi.com/books/pdfview/book/7055
|7 0
|x Verlag
|3 Volltext
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|u https://directory.doabooks.org/handle/20.500.12854/98990
|z DOAB: description of the publication
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|a 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.
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