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Electromagnetism—Like Optimization Algorithm: An Introduction

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Advances and Applications of Optimised Algorithms in Image Processing

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 117))

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Abstract

In the soft computing field, the evolutionary computation algorithms are an interesting tool for solving complex optimization problems. They imitate different natural processes, for example the physical phenomena. This chapter presents the concepts that inspires the behavior of the Electromagnetism-like Optimization algorithm. The physical theorems are extracted to generate an optimization algorithm that is able to find the best solution in a reduced number of iterations.

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Authors and Affiliations

  1. Departamento de Electrónica, CUCEI, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico

    Diego Oliva & Erik Cuevas

  2. Tecnológico de Monterrey, Campus Guadalajara, Zapopan, Jalisco, Mexico

    Diego Oliva

Authors
  1. Diego Oliva
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  2. Erik Cuevas
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Correspondence to Diego Oliva .

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Oliva, D., Cuevas, E. (2017). Electromagnetism—Like Optimization Algorithm: An Introduction. In: Advances and Applications of Optimised Algorithms in Image Processing. Intelligent Systems Reference Library, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-319-48550-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-48550-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48549-2

  • Online ISBN: 978-3-319-48550-8

  • eBook Packages: EngineeringEngineering (R0)

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