Evolutionary Computation
Evolutionary computation offers powerful problem-solving methodologies inspired by models of natural genetics and evolutionary processes. Potential applications are wide-ranging and include problems related to combinatorial optimization, numerical optimization, multi-objective optimization, and othe...
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| Natura: | Online |
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| Lingua: | inglese |
| Pubblicazione: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Soggetti: | |
| Accesso online: | ONIX_20250220_9783725821235_124 |
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| _version_ | 1869516432114450432 |
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| collection | Directory of Open Access Books |
| description | Evolutionary computation offers powerful problem-solving methodologies inspired by models of natural genetics and evolutionary processes. Potential applications are wide-ranging and include problems related to combinatorial optimization, numerical optimization, multi-objective optimization, and others, as well as specific applications of these problems in diverse domains, such as engineering, design, medicine, robotics, science, etc. Techniques from evolutionary computation often lend themselves well to parallel and distributed implementations and are often more effective in dealing with challenging problem characteristics such as non-linearity and high dimensionality than alternative approaches. This Special Issue brings together recent advances in the theory and application of evolutionary computation. |
| format | Online |
| id | doab-20.500.12854ir-152760 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1527602025-02-20T13:01:37Z Evolutionary Computation Cicirello, Vincent A. combinatorial optimization evolutionary algorithms fitness distance correlation fitness landscape analysis genetic algorithms mutation permutation cycles permutation distance metaheuristics differential evolution stigmergy CUDA micro-hyropower plant layout optimization Hermite splines genetic algorithm feature selection classification evolutionary computing overweight obesity target coverage problem directional sensor networks discrete particle swarm optimization fully informed particle swarm self-adaptive differential evolution particle swarm optimization intelligence optimization algorithm linkage system vehicle wipers global optimization orthogonal search parameterless TROS QROS cross-validation genetic programming interaction location SuperCDMS symbolic regression evolutionary optimization multitask optimization interactive surrogate model personalized recommendation optimization UAVs wireless networks potential fields electric vehicles charging station allocation facility-to-site allocation grid discretization ERP services composition QoS optimization context-aware IoT-Fog cloud service ontology multi-agent strategies improved NSGA-II algorithm n/a thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology Evolutionary computation offers powerful problem-solving methodologies inspired by models of natural genetics and evolutionary processes. Potential applications are wide-ranging and include problems related to combinatorial optimization, numerical optimization, multi-objective optimization, and others, as well as specific applications of these problems in diverse domains, such as engineering, design, medicine, robotics, science, etc. Techniques from evolutionary computation often lend themselves well to parallel and distributed implementations and are often more effective in dealing with challenging problem characteristics such as non-linearity and high dimensionality than alternative approaches. This Special Issue brings together recent advances in the theory and application of evolutionary computation. 2025-02-20T13:01:34Z 2025-02-20T13:01:34Z 2024 book ONIX_20250220_9783725821235_124 9783725821235 9783725821242 https://directory.doabooks.org/handle/20.500.12854/152760 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/9889 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2124-2 10.3390/books978-3-7258-2124-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725821235 9783725821242 306 Basel open access |
| spellingShingle | combinatorial optimization evolutionary algorithms fitness distance correlation fitness landscape analysis genetic algorithms mutation permutation cycles permutation distance metaheuristics differential evolution stigmergy CUDA micro-hyropower plant layout optimization Hermite splines genetic algorithm feature selection classification evolutionary computing overweight obesity target coverage problem directional sensor networks discrete particle swarm optimization fully informed particle swarm self-adaptive differential evolution particle swarm optimization intelligence optimization algorithm linkage system vehicle wipers global optimization orthogonal search parameterless TROS QROS cross-validation genetic programming interaction location SuperCDMS symbolic regression evolutionary optimization multitask optimization interactive surrogate model personalized recommendation optimization UAVs wireless networks potential fields electric vehicles charging station allocation facility-to-site allocation grid discretization ERP services composition QoS optimization context-aware IoT-Fog cloud service ontology multi-agent strategies improved NSGA-II algorithm n/a thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology Evolutionary Computation |
| title | Evolutionary Computation |
| title_full | Evolutionary Computation |
| title_fullStr | Evolutionary Computation |
| title_full_unstemmed | Evolutionary Computation |
| title_short | Evolutionary Computation |
| title_sort | evolutionary computation |
| topic | combinatorial optimization evolutionary algorithms fitness distance correlation fitness landscape analysis genetic algorithms mutation permutation cycles permutation distance metaheuristics differential evolution stigmergy CUDA micro-hyropower plant layout optimization Hermite splines genetic algorithm feature selection classification evolutionary computing overweight obesity target coverage problem directional sensor networks discrete particle swarm optimization fully informed particle swarm self-adaptive differential evolution particle swarm optimization intelligence optimization algorithm linkage system vehicle wipers global optimization orthogonal search parameterless TROS QROS cross-validation genetic programming interaction location SuperCDMS symbolic regression evolutionary optimization multitask optimization interactive surrogate model personalized recommendation optimization UAVs wireless networks potential fields electric vehicles charging station allocation facility-to-site allocation grid discretization ERP services composition QoS optimization context-aware IoT-Fog cloud service ontology multi-agent strategies improved NSGA-II algorithm n/a thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| topic_facet | combinatorial optimization evolutionary algorithms fitness distance correlation fitness landscape analysis genetic algorithms mutation permutation cycles permutation distance metaheuristics differential evolution stigmergy CUDA micro-hyropower plant layout optimization Hermite splines genetic algorithm feature selection classification evolutionary computing overweight obesity target coverage problem directional sensor networks discrete particle swarm optimization fully informed particle swarm self-adaptive differential evolution particle swarm optimization intelligence optimization algorithm linkage system vehicle wipers global optimization orthogonal search parameterless TROS QROS cross-validation genetic programming interaction location SuperCDMS symbolic regression evolutionary optimization multitask optimization interactive surrogate model personalized recommendation optimization UAVs wireless networks potential fields electric vehicles charging station allocation facility-to-site allocation grid discretization ERP services composition QoS optimization context-aware IoT-Fog cloud service ontology multi-agent strategies improved NSGA-II algorithm n/a thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| url | ONIX_20250220_9783725821235_124 |