Numerical and Evolutionary Optimization 2020
This book was established after the 8th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on th...
שמור ב:
| פורמט: | Online |
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| שפה: | אנגלית |
| יצא לאור: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| נושאים: | |
| גישה מקוונת: | ONIX_20220111_9783036516691_481 |
| תגים: |
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| _version_ | 1869530665657040896 |
|---|---|
| collection | Directory of Open Access Books |
| description | This book was established after the 8th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications. |
| format | Online |
| id | doab-20.500.12854ir-76746 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-767462024-03-28T03:32:31Z Numerical and Evolutionary Optimization 2020 Quiroz, Marcela Schütze, Oliver Ruiz, Juan Gabriel de la Fraga, Luis Gerardo robust optimization differential evolution ROOT optimization framework drainage rehabilitation overflooding pipe breaking VCO CMOS differential pair PVT variations Monte Carlo analysis multi-objective optimization Pareto Tracer continuation constraint handling surrogate modeling multiobjective optimization evolutionary algorithms kriging method ensemble method adaptive algorithm liquid storage tanks base excitation artificial intelligence Multi-Gene Genetic Programming computational fluid dynamics finite volume method JSSP CMOSA CMOTA chaotic perturbation fixed point arithmetic FP16 pseudo random number generator incorporation of preferences multi-criteria classification decision-making process multi-objective evolutionary optimization outranking relationships decision maker profile profile assessment region of interest approximation optimization using preferences hybrid evolutionary approach forecasting Convolutional Neural Network LSTM COVID-19 deep learning trust region methods multiobjective descent derivative-free optimization radial basis functions fully linear models decision making process cognitive tasks recommender system project portfolio selection problem usability evaluation multi-objective portfolio optimization problem trapezoidal fuzzy numbers density estimators steady state algorithms protein structure prediction Hybrid Simulated Annealing Template-Based Modeling structural biology Metropolis optimization linear programming energy central thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science This book was established after the 8th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications. 2022-01-11T13:40:49Z 2022-01-11T13:40:49Z 2021 book ONIX_20220111_9783036516691_481 9783036516691 9783036516707 https://directory.doabooks.org/handle/20.500.12854/76746 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4195 https://mdpi.com/books/pdfview/book/4195 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1670-7 10.3390/books978-3-0365-1670-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036516691 9783036516707 364 Basel, Switzerland open access |
| spellingShingle | robust optimization differential evolution ROOT optimization framework drainage rehabilitation overflooding pipe breaking VCO CMOS differential pair PVT variations Monte Carlo analysis multi-objective optimization Pareto Tracer continuation constraint handling surrogate modeling multiobjective optimization evolutionary algorithms kriging method ensemble method adaptive algorithm liquid storage tanks base excitation artificial intelligence Multi-Gene Genetic Programming computational fluid dynamics finite volume method JSSP CMOSA CMOTA chaotic perturbation fixed point arithmetic FP16 pseudo random number generator incorporation of preferences multi-criteria classification decision-making process multi-objective evolutionary optimization outranking relationships decision maker profile profile assessment region of interest approximation optimization using preferences hybrid evolutionary approach forecasting Convolutional Neural Network LSTM COVID-19 deep learning trust region methods multiobjective descent derivative-free optimization radial basis functions fully linear models decision making process cognitive tasks recommender system project portfolio selection problem usability evaluation multi-objective portfolio optimization problem trapezoidal fuzzy numbers density estimators steady state algorithms protein structure prediction Hybrid Simulated Annealing Template-Based Modeling structural biology Metropolis optimization linear programming energy central thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Numerical and Evolutionary Optimization 2020 |
| title | Numerical and Evolutionary Optimization 2020 |
| title_full | Numerical and Evolutionary Optimization 2020 |
| title_fullStr | Numerical and Evolutionary Optimization 2020 |
| title_full_unstemmed | Numerical and Evolutionary Optimization 2020 |
| title_short | Numerical and Evolutionary Optimization 2020 |
| title_sort | numerical and evolutionary optimization 2020 |
| topic | robust optimization differential evolution ROOT optimization framework drainage rehabilitation overflooding pipe breaking VCO CMOS differential pair PVT variations Monte Carlo analysis multi-objective optimization Pareto Tracer continuation constraint handling surrogate modeling multiobjective optimization evolutionary algorithms kriging method ensemble method adaptive algorithm liquid storage tanks base excitation artificial intelligence Multi-Gene Genetic Programming computational fluid dynamics finite volume method JSSP CMOSA CMOTA chaotic perturbation fixed point arithmetic FP16 pseudo random number generator incorporation of preferences multi-criteria classification decision-making process multi-objective evolutionary optimization outranking relationships decision maker profile profile assessment region of interest approximation optimization using preferences hybrid evolutionary approach forecasting Convolutional Neural Network LSTM COVID-19 deep learning trust region methods multiobjective descent derivative-free optimization radial basis functions fully linear models decision making process cognitive tasks recommender system project portfolio selection problem usability evaluation multi-objective portfolio optimization problem trapezoidal fuzzy numbers density estimators steady state algorithms protein structure prediction Hybrid Simulated Annealing Template-Based Modeling structural biology Metropolis optimization linear programming energy central thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | robust optimization differential evolution ROOT optimization framework drainage rehabilitation overflooding pipe breaking VCO CMOS differential pair PVT variations Monte Carlo analysis multi-objective optimization Pareto Tracer continuation constraint handling surrogate modeling multiobjective optimization evolutionary algorithms kriging method ensemble method adaptive algorithm liquid storage tanks base excitation artificial intelligence Multi-Gene Genetic Programming computational fluid dynamics finite volume method JSSP CMOSA CMOTA chaotic perturbation fixed point arithmetic FP16 pseudo random number generator incorporation of preferences multi-criteria classification decision-making process multi-objective evolutionary optimization outranking relationships decision maker profile profile assessment region of interest approximation optimization using preferences hybrid evolutionary approach forecasting Convolutional Neural Network LSTM COVID-19 deep learning trust region methods multiobjective descent derivative-free optimization radial basis functions fully linear models decision making process cognitive tasks recommender system project portfolio selection problem usability evaluation multi-objective portfolio optimization problem trapezoidal fuzzy numbers density estimators steady state algorithms protein structure prediction Hybrid Simulated Annealing Template-Based Modeling structural biology Metropolis optimization linear programming energy central thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20220111_9783036516691_481 |