Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
General Type-2 Fuzzy Edge Detection in the Preprocessing of a Face Recognition System Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Fuzzy Dynamic Adaptation of Parameters in the Water Cycle Algorithm

Authors : Eduardo Méndez, Oscar Castillo, José Soria, Ali Sadollah

Published in: Nature-Inspired Design of Hybrid Intelligent Systems

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper describes the enhancement of the water cycle algorithm (WCA) using a fuzzy inference system to dynamically adapt its parameters. The original WCA is compared in terms of performance with the proposed method called WCA with dynamic parameter adaptation (WCA-DPA). Simulation results on a set of well-known test functions show that the WCA is improved with a fuzzy dynamic adaptation of the parameters.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter A Review of Dynamic Parameter Adaptation Methods for the Firefly Algorithm
next chapter Fireworks Algorithm (FWA) with Adaptation of Parameters Using Fuzzy Logic
Literature
1.
Atashpaz-Gargari, E., Lucas, C.: Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition. In: IEEE Congress on Evolutionary Computation. pp. 4661–4667 IEEE (2007).
2.
Eskandar, H. et al.: Water Cycle Algorithm - A Novel Metaheuristic Optimization Method for Solving Constrained Engineering Optimization Problems. Comput. Struct. 110-111, 151–166 (2012).
3.
Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science (80-.). 220, 4598, 671–680 (1983).
4.
Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA (1989).
5.
Hosseini, H.S.: Problem solving by intelligent water drops. In: Evolutionary Computation, 2007. CEC 2007. IEEE Congress on. pp. 3226–3231 (2007).
6.
Janson, S., Middendorf, M.: A hierarchical particle swarm optimizer and its adaptive variant. IEEE Trans. Syst. Man, Cybern. Part B. 35, 6, 1272–1282 (2005).
7.
Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks. pp. 1942–1948 (1995).
8.
Mamdani, E.H., Assilian, S.: An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Mach. Stud. 7 (1), 1–13 (1975).
9.
Melin, P. et al.: Optimal Design of Fuzzy Classification Systems Using PSO with Dynamic Parameter Adaptation Through Fuzzy Logic. Expert Syst. Appl. 40, 8, 3196–3206 (2013).
10.
Mirjalili, S. et al.: Grey Wolf Optimizer. Adv. Eng. Softw. 69, 46–61 (2014).
11.
Sadollah, A. et al.: Water cycle algorithm for solving multi-objective optimization problems. Soft Comput. 19, 9, 2587–2603 (2015).
12.
Sadollah, A. et al.: Water cycle algorithm with evaporation rate for solving constrained and unconstrained optimization problems. Appl. Soft Comput. 30, 58–71 (2015).
13.
Shi, Y., Eberhart, R.C.: Fuzzy adaptive particle swarm optimization. In: Evolutionary Computation, 2001. Proceedings of the 2001 Congress on. pp. 101–106 vol. 1 (2001).
14.
Shreve, R.L.: Infinite Topologically Random Channel Networks. J. Geol. 75, 2, 178–186 (1967).
15.
Shreve, R.L.: Statistical Law of Stream Numbers. J. Geol. 74, 1, 17–37 (1966).
16.
Yang, X.-S.: Flower Pollination Algorithm for Global Optimization, (2013).
17.
Zhan, Z.H. et al.: Adaptive Particle Swarm Optimization. IEEE Trans. Syst. Man, Cybern. Part B. 39, 6, 1362–1381 (2009).
18.
Zheng, Y.-J.: Water wave optimization: {A} new nature-inspired metaheuristic. Comput. {&} {OR}. 55, 1–11 (2015).
Metadata
Title
Fuzzy Dynamic Adaptation of Parameters in the Water Cycle Algorithm
Authors
Eduardo Méndez
Oscar Castillo
José Soria
Ali Sadollah
Copyright Year
2017
Book
Nature-Inspired Design of Hybrid Intelligent Systems

Print ISBN: 978-3-319-47053-5

Electronic ISBN: 978-3-319-47054-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-47054-2_20

Premium Partner

    Image Credits