Skip to main content

2018 | OriginalPaper | Buchkapitel

8. Krill Herd Algorithm (KHA)

verfasst von : Babak Zolghadr-Asli, Omid Bozorg-Haddad, Xuefeng Chu

Erschienen in: Advanced Optimization by Nature-Inspired Algorithms

Verlag: Springer Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The krill herd algorithm (KHA) is a new metaheuristic search algorithm based on simulating the herding behavior of krill individuals using a Lagrangian model. This algorithm was developed by Gandomi and Alavi (2012) and the preliminary studies illustrated its potential in solving numerous complex engineering optimization problems. In this chapter, the natural process behind a standard KHA is described.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

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!

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!

Literatur
Zurück zum Zitat Bolaji, A. L. A., Al-Betar, M. A., Awadallah, M. A., Khader, A. T., & Abualigah, L. M. (2016). A comprehensive review: Krill Herd algorithm (KH) and its applications. Applied Soft Computing, 49, 437–446. Bolaji, A. L. A., Al-Betar, M. A., Awadallah, M. A., Khader, A. T., & Abualigah, L. M. (2016). A comprehensive review: Krill Herd algorithm (KH) and its applications. Applied Soft Computing, 49, 437–446.
Zurück zum Zitat Brierley, A. S., & Cox, M. J. (2010). Shapes of krill swarms and fish schools emerge as aggregation members avoid predators and access oxygen. Current Biology, 20(19), 1758–1762. Brierley, A. S., & Cox, M. J. (2010). Shapes of krill swarms and fish schools emerge as aggregation members avoid predators and access oxygen. Current Biology, 20(19), 1758–1762.
Zurück zum Zitat Fattahi, E., Bidar, M., & Kanan, H. R. (2016). Fuzzy krill herd (FKH): An improved optimization algorithm. Intelligent Data Analysis, 20(1), 153–165. Fattahi, E., Bidar, M., & Kanan, H. R. (2016). Fuzzy krill herd (FKH): An improved optimization algorithm. Intelligent Data Analysis, 20(1), 153–165.
Zurück zum Zitat Flierl, G., Grünbaum, D., Levins, S., & Olson, D. (1999). From individuals to aggregations: The interplay between behavior and physics. Journal of Theoretical Biology, 196(4), 397–454. Flierl, G., Grünbaum, D., Levins, S., & Olson, D. (1999). From individuals to aggregations: The interplay between behavior and physics. Journal of Theoretical Biology, 196(4), 397–454.
Zurück zum Zitat Gandomi, A. H., & Alavi, A. H. (2012). Krill herd: A new bio-inspired optimization algorithm. Communications in Nonlinear Science and Numerical Simulation, 17(12), 4831–4845.MathSciNetMATH Gandomi, A. H., & Alavi, A. H. (2012). Krill herd: A new bio-inspired optimization algorithm. Communications in Nonlinear Science and Numerical Simulation, 17(12), 4831–4845.MathSciNetMATH
Zurück zum Zitat Gandomi, A. H., & Alavi, A. H. (2016). An introduction of krill herd algorithm for engineering optimization. Journal of Civil Engineering and Management, 22(3), 302–310. Gandomi, A. H., & Alavi, A. H. (2016). An introduction of krill herd algorithm for engineering optimization. Journal of Civil Engineering and Management, 22(3), 302–310.
Zurück zum Zitat Gandomi, A. H., Alavi, A. H., & Talatahari, S. (2013a). Structural optimization using krill herd algorithm. Chapter 15 in swarm intelligence and bio-inspired computation: Theory and applications. London, UK: Elsevier Publication. Gandomi, A. H., Alavi, A. H., & Talatahari, S. (2013a). Structural optimization using krill herd algorithm. Chapter 15 in swarm intelligence and bio-inspired computation: Theory and applications. London, UK: Elsevier Publication.
Zurück zum Zitat Gandomi, A. H., Talatahari, S., Tadbiri, F., & Alavi, A. H. (2013b). Krill herd algorithm for optimum design of truss structures. International Journal of Bio-Inspired Computation, 5(5), 281–288. Gandomi, A. H., Talatahari, S., Tadbiri, F., & Alavi, A. H. (2013b). Krill herd algorithm for optimum design of truss structures. International Journal of Bio-Inspired Computation, 5(5), 281–288.
Zurück zum Zitat Gandomi, A. H., Yang, X. S., & Alavi, A. H. (2013c). Cuckoo search algorithm: A metaheuristic approach to solve structural optimization problems. Engineering with Computers, 29(1), 17–35. Gandomi, A. H., Yang, X. S., & Alavi, A. H. (2013c). Cuckoo search algorithm: A metaheuristic approach to solve structural optimization problems. Engineering with Computers, 29(1), 17–35.
Zurück zum Zitat Hofmann, E. E., Haskell, A. E., Klinck, J. M., & Lascara, C. M. (2004). Lagrangian modelling studies of Antarctic krill (Euphausia superba) swarm formation. ICES Journal of Marine Science, 61(4), 617–631. Hofmann, E. E., Haskell, A. E., Klinck, J. M., & Lascara, C. M. (2004). Lagrangian modelling studies of Antarctic krill (Euphausia superba) swarm formation. ICES Journal of Marine Science, 61(4), 617–631.
Zurück zum Zitat Mandal, B., Roy, P. K., & Mandal, S. (2014). Economic load dispatch using krill herd algorithm. International Journal of Electrical Power & Energy Systems, 57, 1–10. Mandal, B., Roy, P. K., & Mandal, S. (2014). Economic load dispatch using krill herd algorithm. International Journal of Electrical Power & Energy Systems, 57, 1–10.
Zurück zum Zitat Mukherjee, A., & Mukherjee, V. (2015). Solution of optimal power flow using chaotic krill herd algorithm. Chaos, Solitons & Fractals, 78, 10–21.MathSciNet Mukherjee, A., & Mukherjee, V. (2015). Solution of optimal power flow using chaotic krill herd algorithm. Chaos, Solitons & Fractals, 78, 10–21.MathSciNet
Zurück zum Zitat Price, H. J. (1989). Swimming behavior of krill in response to algal patches: A mesocosm study. Limnology and Oceanography, 34(4), 649–659. Price, H. J. (1989). Swimming behavior of krill in response to algal patches: A mesocosm study. Limnology and Oceanography, 34(4), 649–659.
Zurück zum Zitat Wang, G. G., Gandomi, A. H., & Alavi, A. H. (2013). A chaotic particle-swarm krill herd algorithm for global numerical optimization. Kybernetes, 42(6), 962–978.MathSciNet Wang, G. G., Gandomi, A. H., & Alavi, A. H. (2013). A chaotic particle-swarm krill herd algorithm for global numerical optimization. Kybernetes, 42(6), 962–978.MathSciNet
Metadaten
Titel
Krill Herd Algorithm (KHA)
verfasst von
Babak Zolghadr-Asli
Omid Bozorg-Haddad
Xuefeng Chu
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-5221-7_8

Premium Partner