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2017 | OriginalPaper | Chapter

1. Introduction

Authors : Erik Cuevas, Valentín Osuna, Diego Oliva

Published in: Evolutionary Computation Techniques: A Comparative Perspective

Publisher: Springer International Publishing

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Abstract

The objective of this chapter is to motivate the use of evolutionary techniques for solving optimization problems. The chapter is conducted in such a way that it is clear the necessity of using evolutionary optimization methods for the solution of complex problems present in engineering. The chapter also gives an introduction to the optimization techniques, considering their main characteristics.

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next chapter Multilevel Segmentation in Digital Images
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Cuevas, E., Ortega-Sánchez, N., Zaldivar, D., Pérez-Cisneros, M., Circle detection by Harmony Search Optimization, Journal of Intelligent and Robotic Systems: Theory and Applications, 66(3), (2012), 359–376.
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Oliva, D., Cuevas, E., Pajares, G., Parameter identification of solar cells using artificial bee colony optimization, Energy, 72, (2014), 93–102.
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Cuevas, E., Gálvez, J., Hinojosa, S., Zaldívar, D., Pérez-Cisneros, M., A comparison of evolutionary computation techniques for IIR model identification, Journal of Applied Mathematics, 2014, 827206.
Metadata
Title
Introduction
Authors
Erik Cuevas
Valentín Osuna
Diego Oliva
Copyright Year
2017
Book
Evolutionary Computation Techniques: A Comparative Perspective

Print ISBN: 978-3-319-51108-5

Electronic ISBN: 978-3-319-51109-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-51109-2_1

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