Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Journal of Intelligent Manufacturing
Erschienen in: Journal of Intelligent Manufacturing 1/2018

23.05.2015

An improved league championship algorithm with free search and its application on production scheduling

verfasst von: Wei Xu, Raofen Wang, Jiarong Yang

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 1/2018

Einloggen

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

search-config
loading …

Abstract

An improved league championship algorithm with free search (LCAFS) is proposed to avoid the drawbacks of basic LCA, such as premature convergence, slow convergence speed. The parameters of the algorithm vary linearly along with iteration. A novel match schedule is designed to improve the competition capability for the sport teams. Furthermore, the free search operation is introduced to promote the diversity of the league. Inspired by the real league degradation, degradation mechanism is used to preserve the team elites. It is convinced by using benchmark functions that LCAFS is superior to other compared algorithms in the global searching performance and convergence speed. The proposed algorithm is finally employed as learning method of parameters in neural network to establish the shop floor production scheduling model and achieves good results.
Vorheriger Artikel An impending deadlock-free scheduling method in the case of unified automated material handling systems in 300 mm wafer fabrications
Nächster Artikel Multi-objective optimisation of pulsed Nd:YAG laser cutting process using integrated ANN–NSGAII model

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!

Jetzt informieren

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!

Jetzt informieren
Literatur
Abharian, A. E., Sarabi, S. Z., & Yomi, M. (2014). Optimal sigmoid nonlinear stochastic control of HIV-1 infection based on bacteria foraging optimization method. Biomedical Signal Processing and Control, 10, 184–191.CrossRef
Askarzadeh, A. (2013). A discrete chaotic harmony search-based simulated annealing algorithm for optimum design of PV/wind hybrid system. Solar Energy, 97, 93–101.CrossRef
Chen, M. Y. (2013). A hybrid ANFIS model for business failure prediction utilizing particle swarm optimization and subtractive clustering. Information Sciences, 220, 180–195.CrossRef
Dorigo, M., & Blum, C. (2005). Ant colony optimization theory: A survey. Theoretical Computer Science, 344, 243–278.CrossRef
Eberhart, R. C., & Shi, Y. (2000). Comparing inertia weights and constriction factors in particle swarm optimization. In Proceedings of IEEE international congress on evolutionary computation, vol. 1. San Diego, CA, pp. 84–88.
Formato, R. A. (2007). Central force optimization: A new metaheuristic with applications in applied electromagnetics. Progress in Electromagnetics Research, 77, 425–491.CrossRef
Geem, Z. W., Kim, J. H., & Loganathan, G. V. (2001). A new heuristic optimization algorithm: Harmony search. Simulation, 76(2), 60–68.CrossRef
Holland, J. H. (1975). Adaptation in natural and artificial system. Ann Arbor: Michigan University Press.
Kalin, P. (2009). Free search—a model of adaptive intelligence. In 2009 International conference on adaptive and intelligent systems, pp. 92–97.
Kalin, P., & Guy, L. (2005). Free search—a comparative analysis. Information Sciences, 172, 173–193.CrossRef
Kashan, A. H. (2009). League championship algorithm: A new algorithm for numerical function optimization. In 2009 IEEE international conference of soft computing and pattern recognition, pp. 43–48, Dec. 4–9, Malacca.
Kashan, A. H., & Karimi, B. (2010). A new algorithm for constrained optimization inspired by the sport league championships. In 2010 IEEE congress on evolutionary computation, pp. 1–8, July 18–23, Barcelona.
Kashan, A. H., Karimi, B., & Jolai, F. (2006). Effective hybrid genetic algorithm for minimizing makespan on a single-batch processing machine with non-identical job sizes. International Journal of Production Research, 44(12), 2337–2360.CrossRef
Kashan, A. H. (2011). An efficient algorithm for constrained global optimization and application to mechanical engineering design: League championship algorithm (LCA). Computer-Aided Design, 43(12), 1769–1792.
Kennedy, J., & Eberhart, R. C. (1995). Particle swarm optimization. In Proceedings of IEEE international conference on neural networks. Piscataway, NJ, USA, 4(2), 1942–1948.
Lenin, K., Reddy, B. R., & Kalavathi, M. S. (2013). League championship algorithm (LCA) for solving optimal reactive power dispatch problem. International Journal of Computer and Information Technologies, 1(3), 254–272.
Metaxiotis, K. S., Askounis, D., & Psarras, J. (2002). Expert systems in production planning and scheduling: A state-of-the-art survey. Journal of Intelligent Manufacturing, 13(4), 253–260.CrossRef
Morad, N., & Zalzala, A. (1999). Genetic algorithms in integrated process planning and scheduling. Journal of Intelligent Manufacturing, 10(2), 169–179.CrossRef
Niu, B., Zhu, Y., He, X., & Wu, H. (2007). MCPSO: A multi-swarm cooperative particle swarm optimizer. Applied Mathematics and Computation, 185, 1050–1062.CrossRef
Passino, K. M. (2002). Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Systems Magazine, 22(3), 52–67.CrossRef
Pourali, Z., & Aminnayeri, M. (2012). A novel discrete league championship algorithm for minimizing earliness/tardiness penalties with distinct due dates and batch delivery consideration. In Lecture notes in computer science, vol. 6838, pp. 139–146.
Ramin, R. (2011). Cuckoo optimization algorithm. Applied Soft Computing, 11, 5508–5518.CrossRef
Shi, Y., & Eberhart, R. C. (2001). Fuzzy adaptive particle swarm optimization. In Proceedings of IEEE international congress on evolutionary computation, vol. 1. Seoul, Korea, pp. 101–106.
Stacey, A., Jancic, M., & Grundy, I. (2003). Particle swarm optimization with mutation. In The 2003 congress on evolutionary computation, Dec. 8–12, vol. 2, pp. 1425–1430.
Sun, J., Wang, X., & Li, K., et al. (2013). An auction and league championship algorithm based resource allocation mechanism for distributed cloud. In Lecture notes in computer science, vol. 8299, pp. 334–346.
Wang, L., & Shen, W. (2003). DPP: An agent-based approach for distributed process planning. Journal of Intelligent Manufacturing, 14(5), 429–439.CrossRef
Yang, X. S. (2009). Firefly algorithms for multimodal optimization. In O. Watanabe & T. Zeugmann (Eds.), Stochastic algorithms: Foundations and applications, SAGA 2009, lecture notes in computer science, vol. 5792. Berlin: Springer (pp. 169–78)
Metadaten
Titel
An improved league championship algorithm with free search and its application on production scheduling
verfasst von
Wei Xu
Raofen Wang
Jiarong Yang
Publikationsdatum
23.05.2015
Verlag
Springer US
Erschienen in
Journal of Intelligent Manufacturing / Ausgabe 1/2018
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI
https://doi.org/10.1007/s10845-015-1099-4

Weitere Artikel der Ausgabe 1/2018

Journal of Intelligent Manufacturing 1/2018 Zur Ausgabe

OriginalPaper

Assembly process optimization for reducing the dimensional error of antenna assembly with abundant rivets

OriginalPaper

Cluster analysis and neural network-based metamodeling of priority rules for dynamic sequencing

OriginalPaper

Machining accuracy reliability analysis of multi-axis machine tool based on Monte Carlo simulation

OriginalPaper

An impending deadlock-free scheduling method in the case of unified automated material handling systems in 300 mm wafer fabrications

OriginalPaper

Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function

OriginalPaper

Multi-objective modified differential evolution algorithm with archive-base mutation for solving multi-objective $$p$$ p -xylene oxidation process

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise