Biologically inspired algorithms
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Biologically inspired algorithms is a category of algorithms that imitate the way nature performs.
In this category of algorithms fall:
- Artificial neural networks
- Genetic algorithms
- Evolutionary algorithms
- Particle swarm optimization
- Ant colony optimization
- Fuzzy logic
- and others
References
- Neumann, Frank; Witt, Carsten (2010). Bioinspired computation in combinatorial optimization. Algorithms and their computational complexity. Natural Computing Series. Berlin: Springer-Verlag. ISBN 978-3-642-16543-6. Zbl 1223.68002.
- Brabazon, Anthony; O’Neill, Michael (2006). Biologically inspired algorithms for financial modelling. Natural Computing Series. Berlin: Springer-Verlag. ISBN 3-540-26252-0. Zbl 1117.91030.