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Erschienen in:
Differential Evolution with Two Subpopulations Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Memetic Algorithm Used in Character Recognition

verfasst von : Rashmi Welekar, Nileshsingh V. Thakur

Erschienen in: Swarm, Evolutionary, and Memetic Computing

Verlag: Springer International Publishing

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Abstract

Memetic algorithms (MAs) are basically optimization algorithms which fully exploit the problem under consideration. This paper describes the character recognition problem using traditional approach, genetic algorithm approach and memetic algorithm approach. It also describes the basic architecture of MA and elaborates the memetic algorithm based approach to character recognition. The comparison with traditional approach and genetic algorithm approach shows that MA remarkably reduces the error rate. This paper is useful for the beginners who apply nature based computing in character recognition.

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Vorheriges Kapitel Opposition Based Particle Swarm Optimizer with Ring Topology
Nächstes Kapitel Hybrid Particle Swarm Optimization Algorithm and Firefly Algorithm Based Combined Economic and Emission Dispatch Including Valve Point Effect
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Metadaten
Titel
Memetic Algorithm Used in Character Recognition
verfasst von
Rashmi Welekar
Nileshsingh V. Thakur
Copyright-Jahr
2015
Buch
Swarm, Evolutionary, and Memetic Computing

Print ISBN: 978-3-319-20293-8

Electronic ISBN: 978-3-319-20294-5

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-20294-5_55

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