Foraging-Inspired Optimisation Algorithms
Brabazon, Anthony ; McGarraghy, Seán 2018 Springer International Publishing
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- Link zu diesem Datensatz
- https://d-nb.info/1167927761
- Titel
- Foraging-Inspired Optimisation Algorithms
- Art des Inhalts
- Monographie
- Autor(en)
- Organisation(en)
-
- Springer International Publishing
- Auflage
- 1st edition 2018
- Verlag
- Cham : Springer International Publishing [2018]
- Jahr
- Erscheinungsdatum: 2018
- Umfang/Format
- Online-Ressource
- ISBN/Einband/Preis
9783319591568- DOI
- 10.1007/978-3-319-59156-8
- Online
- https://doi.org/10.1007/978-3-319-59156-8
- Sprache
- eng
- Schlagwörter
-
- Foraging
- Social Learning
- Foraging Algorithms
- Animal Behavior
- Ant Foraging Algorithm
- Bioluminescence Algorithms
- Bacteria Inspired Algorithms
- Chemotaxis
- Optimization
- Search
- Learning
- Natural Computing
- Genetic Programming
- Evolutionary Computing
- Slime Mould
- Plant Foraging
- Group Search
- Predatory Search
- Heuristics
- Honeybees
- (Springer Nature Subject Code)SCI16005: Theory of Computation
- (Springer Nature Subject Collection)SUCO11645: Computer Science
- (Springer Nature Marketing Classification)B
- (Springer Nature Subject Code)SCT11014: Computational Intelligence
- (Springer Nature Subject Code)SCI21017: Artificial Intelligence (incl. Robotics)
- (Springer Nature Subject Code)SCM26024: Operations Research, Management Science
- (Springer Nature Subject Code)SC521000: Operation Research/Decision Theory
- Anmerkungen
- Lizenzpflichtig
- Stand
- 08.03.2025 08:29
- Im Katalog seit
- 07.03.2026