Abstract
This chapter provides an overview of selected computational intelligence algorithms, which will be required to understand the rest of the book. It begins with a review of fuzzy sets and logic, and would gradually explore swarm and evolutionary algorithms, and neural nets. The coverage on swarm and evolutionary algorithms include Genetic Algorithm, Particle Swarm Optimization Bio-geography Based Optimization and Differential Evolution algorithm. Supervised, unsupervised and reinforcement learning algorithms will be outlined under neural nets. The chapter ends with scope of applications of computational intelligence algorithms in call admission.
Keywords
- Particle Swarm Optimization
- Membership Function
- Differential Evolution
- Differential Evolution Algorithm
- Emigration Rate
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Ghosh, S., Konar, A. (2013). An Overview of Computational Intelligence Algorithms. In: Call Admission Control in Mobile Cellular Networks. Studies in Computational Intelligence, vol 437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30997-7_2
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DOI: https://doi.org/10.1007/978-3-642-30997-7_2
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