Numerical and Evolutionary Optimization
This book was established after the 6th 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...
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| Principais autores: | , , , |
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| Formato: | Online |
| Idioma: | inglês |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Acesso em linha: | 42655 |
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| _version_ | 1869524428282396672 |
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| author | Lara, Adriana Quiroz, Marcela Schütze, Oliver Mezura-Montes, Efrén |
| author_browse | Lara, Adriana Mezura-Montes, Efrén Quiroz, Marcela Schütze, Oliver |
| author_facet | Lara, Adriana Quiroz, Marcela Schütze, Oliver Mezura-Montes, Efrén |
| author_sort | Lara, Adriana |
| collection | Directory of Open Access Books |
| description | This book was established after the 6th 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-54914 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-549142024-04-11T15:10:25Z Numerical and Evolutionary Optimization Lara, Adriana Quiroz, Marcela Schütze, Oliver Mezura-Montes, Efrén TA1-2040 T1-995 model predictive control bulbous bow improvement differential evolution algorithm evolutionary multi-objective optimization location routing problem flexible job shop scheduling problem basic differential evolution algorithm metric measure spaces NEAT genetic algorithm multiobjective optimization improved differential evolution algorithm performance indicator rubber averaged Hausdorff distance mixture experiments U-shaped assembly line balancing Genetic Programming Local Search driving events surrogate-based optimization single component constraints crop planning Pareto front numerical simulations shape morphing genetic programming economic crops local search and jump search model order reduction optimal solutions EvoSpace risky driving intelligent transportation systems optimal control IV-optimality criterion Bloat decision space diversity modify differential evolution algorithm power means driving scoring functions open-source framework evolutionary computation differential evolution algorithm vehicle routing problem multi-objective optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This book was established after the 6th 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. 2021-02-11T21:19:43Z 2021-02-11T21:19:43Z 2019-12-09 11:49:16 2019 book 42655 9783039218172 9783039218165 https://directory.doabooks.org/handle/20.500.12854/54914 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1812 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-817-2 10.3390/books978-3-03921-817-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039218172 9783039218165 230 open access |
| spellingShingle | TA1-2040 T1-995 model predictive control bulbous bow improvement differential evolution algorithm evolutionary multi-objective optimization location routing problem flexible job shop scheduling problem basic differential evolution algorithm metric measure spaces NEAT genetic algorithm multiobjective optimization improved differential evolution algorithm performance indicator rubber averaged Hausdorff distance mixture experiments U-shaped assembly line balancing Genetic Programming Local Search driving events surrogate-based optimization single component constraints crop planning Pareto front numerical simulations shape morphing genetic programming economic crops local search and jump search model order reduction optimal solutions EvoSpace risky driving intelligent transportation systems optimal control IV-optimality criterion Bloat decision space diversity modify differential evolution algorithm power means driving scoring functions open-source framework evolutionary computation differential evolution algorithm vehicle routing problem multi-objective optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Lara, Adriana Quiroz, Marcela Schütze, Oliver Mezura-Montes, Efrén Numerical and Evolutionary Optimization |
| title | Numerical and Evolutionary Optimization |
| title_full | Numerical and Evolutionary Optimization |
| title_fullStr | Numerical and Evolutionary Optimization |
| title_full_unstemmed | Numerical and Evolutionary Optimization |
| title_short | Numerical and Evolutionary Optimization |
| title_sort | numerical and evolutionary optimization |
| topic | TA1-2040 T1-995 model predictive control bulbous bow improvement differential evolution algorithm evolutionary multi-objective optimization location routing problem flexible job shop scheduling problem basic differential evolution algorithm metric measure spaces NEAT genetic algorithm multiobjective optimization improved differential evolution algorithm performance indicator rubber averaged Hausdorff distance mixture experiments U-shaped assembly line balancing Genetic Programming Local Search driving events surrogate-based optimization single component constraints crop planning Pareto front numerical simulations shape morphing genetic programming economic crops local search and jump search model order reduction optimal solutions EvoSpace risky driving intelligent transportation systems optimal control IV-optimality criterion Bloat decision space diversity modify differential evolution algorithm power means driving scoring functions open-source framework evolutionary computation differential evolution algorithm vehicle routing problem multi-objective optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | TA1-2040 T1-995 model predictive control bulbous bow improvement differential evolution algorithm evolutionary multi-objective optimization location routing problem flexible job shop scheduling problem basic differential evolution algorithm metric measure spaces NEAT genetic algorithm multiobjective optimization improved differential evolution algorithm performance indicator rubber averaged Hausdorff distance mixture experiments U-shaped assembly line balancing Genetic Programming Local Search driving events surrogate-based optimization single component constraints crop planning Pareto front numerical simulations shape morphing genetic programming economic crops local search and jump search model order reduction optimal solutions EvoSpace risky driving intelligent transportation systems optimal control IV-optimality criterion Bloat decision space diversity modify differential evolution algorithm power means driving scoring functions open-source framework evolutionary computation differential evolution algorithm vehicle routing problem multi-objective optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | 42655 |
| work_keys_str_mv | AT laraadriana numericalandevolutionaryoptimization AT quirozmarcela numericalandevolutionaryoptimization AT schutzeoliver numericalandevolutionaryoptimization AT mezuramontesefren numericalandevolutionaryoptimization |