Bio-Inspired Algorithms
The goal for this Special Issue on "Bio-Inspired Algorithms" was to seek original research papers about novel bio-inspired methods, analysis of already-existing techniques, or high-level practical applications from the field of computer science or any interdisciplinary field. We accepted manuscripts...
Tallennettuna:
| Aineistotyyppi: | Online |
|---|---|
| Kieli: | englanti |
| Julkaistu: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Aiheet: | |
| Linkit: | ONIX_20250812T110751_9783725843732_457 |
| Tagit: |
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| _version_ | 1869520799399936000 |
|---|---|
| collection | Directory of Open Access Books |
| description | The goal for this Special Issue on "Bio-Inspired Algorithms" was to seek original research papers about novel bio-inspired methods, analysis of already-existing techniques, or high-level practical applications from the field of computer science or any interdisciplinary field. We accepted manuscripts discussing evolutional (Genetic Algorithms, NSGA, etc.), swarm-intelligence-based (Particle Swarm Optimization, Ant Colony Optimization, Fireworks Algorithm, etc.), or brain-inspired computing (Neural Networks, Deep Learning, etc.) methods applied in any kind of research project (image processing, natural language processing, general optimization, physical simulations, etc.). |
| format | Online |
| id | doab-20.500.12854ir-165702 |
| 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-1657022025-08-12T10:08:28Z Bio-Inspired Algorithms Szénási, Sándor Kertész, Gábor nature-inspired metaheuristics bio-inspired methods evolutionary algorithms neural networks deep learning greedy algorithms swarm intelligence thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science The goal for this Special Issue on "Bio-Inspired Algorithms" was to seek original research papers about novel bio-inspired methods, analysis of already-existing techniques, or high-level practical applications from the field of computer science or any interdisciplinary field. We accepted manuscripts discussing evolutional (Genetic Algorithms, NSGA, etc.), swarm-intelligence-based (Particle Swarm Optimization, Ant Colony Optimization, Fireworks Algorithm, etc.), or brain-inspired computing (Neural Networks, Deep Learning, etc.) methods applied in any kind of research project (image processing, natural language processing, general optimization, physical simulations, etc.). 2025-08-12T10:08:25Z 2025-08-12T10:08:25Z 2025 book ONIX_20250812T110751_9783725843732_457 9783725843732 9783725843749 https://directory.doabooks.org/handle/20.500.12854/165702 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/11135 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4374-9 10.3390/books978-3-7258-4374-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725843732 9783725843749 266 open access |
| spellingShingle | nature-inspired metaheuristics bio-inspired methods evolutionary algorithms neural networks deep learning greedy algorithms swarm intelligence thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Bio-Inspired Algorithms |
| title | Bio-Inspired Algorithms |
| title_full | Bio-Inspired Algorithms |
| title_fullStr | Bio-Inspired Algorithms |
| title_full_unstemmed | Bio-Inspired Algorithms |
| title_short | Bio-Inspired Algorithms |
| title_sort | bio inspired algorithms |
| topic | nature-inspired metaheuristics bio-inspired methods evolutionary algorithms neural networks deep learning greedy algorithms swarm intelligence thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | nature-inspired metaheuristics bio-inspired methods evolutionary algorithms neural networks deep learning greedy algorithms swarm intelligence thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20250812T110751_9783725843732_457 |