IDEAS home Printed from https://ideas.repec.org/p/rug/rugwps/11-715.html
   My bibliography  Save this paper

A hybrid genetic algorithm for the single machine maximum lateness problem with release times and family

Author

Listed:
  • V. SELS

    ()

  • M. VANHOUCKE

    ()

Abstract

We consider the problem of scheduling a number of jobs, each job having a release time, a processing time, a due date and a family setup time, on a single machine with the objective of minimizing the maximum lateness. We develop a hybrid genetic algorithm and validate its performance on a newly developed diverse data set. We perform an extensive study of local search algorithms, based on the trade-off between the intensification and diversification strategies, taking the characteristics of the problem into account. We combine different local search neighborhoods in an intelligent manner to further improve the solution quality. We use the hybrid genetic algorithm to perform a comprehensive analysis of the influence of the different problem parameters on the maximum lateness value and the solution quality.

Suggested Citation

  • V. Sels & M. Vanhoucke, 2011. "A hybrid genetic algorithm for the single machine maximum lateness problem with release times and family," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/715, Ghent University, Faculty of Economics and Business Administration.
  • Handle: RePEc:rug:rugwps:11/715
    as

    Download full text from publisher

    File URL: http://wps-feb.ugent.be/Papers/wp_11_715.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    2. Ammer, John & Mei, Jianping, 1996. " Measuring International Economic Linkages with Stock Market Data," Journal of Finance, American Finance Association, vol. 51(5), pages 1743-1763, December.
    3. Kim, Suk Joong & Moshirian, Fariborz & Wu, Eliza, 2005. "Dynamic stock market integration driven by the European Monetary Union: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 29(10), pages 2475-2502, October.
    4. Brooks, Robin & Del Negro, Marco, 2004. "The rise in comovement across national stock markets: market integration or IT bubble?," Journal of Empirical Finance, Elsevier, vol. 11(5), pages 659-680, December.
    5. Levine, Ross & Zervos, Sara, 1998. "Stock Markets, Banks, and Economic Growth," American Economic Review, American Economic Association, vol. 88(3), pages 537-558, June.
    6. Ball, Clifford A. & Torous, Walter N., 2000. "Stochastic correlation across international stock markets," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 373-388, November.
    7. Ilmanen, Antti, 1995. " Time-Varying Expected Returns in International Bond Markets," Journal of Finance, American Finance Association, vol. 50(2), pages 481-506, June.
    8. Charlotte Christiansen, 2010. "Decomposing European bond and equity volatility," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(2), pages 105-122.
    9. Gikas A. Hardouvelis & Dimitrios Malliaropulos & Richard Priestley, 2006. "EMU and European Stock Market Integration," The Journal of Business, University of Chicago Press, vol. 79(1), pages 365-392, January.
    10. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(4), pages 537-572.
    11. William N. Goetzmann & Lingfeng Li & K. Geert Rouwenhorst, 2005. "Long-Term Global Market Correlations," The Journal of Business, University of Chicago Press, vol. 78(1), pages 1-38, January.
    12. Bekaert, Geert & Harvey, Campbell R, 1995. " Time-Varying World Market Integration," Journal of Finance, American Finance Association, vol. 50(2), pages 403-444, June.
    13. Harvey, Campbell R, 1991. " The World Price of Covariance Risk," Journal of Finance, American Finance Association, vol. 46(1), pages 111-157, March.
    14. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    15. Kearney, Colm & Poti, Valerio, 2006. "Correlation dynamics in European equity markets," Research in International Business and Finance, Elsevier, vol. 20(3), pages 305-321, September.
    16. Ball, Clifford A. & Torous, Walter N., 2000. "Stochastic Correlation Across International Stock Markets," University of California at Los Angeles, Anderson Graduate School of Management qt6vn9q79w, Anderson Graduate School of Management, UCLA.
    17. Longin, Francois & Solnik, Bruno, 1995. "Is the correlation in international equity returns constant: 1960-1990?," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 3-26, February.
    18. Robert-Paul Berben & W. Jos Jansen, 2005. "Bond Market and Stock Market Integration in Europe," DNB Working Papers 060, Netherlands Central Bank, Research Department.
    19. Roll, R., 1989. "Price Volatility, International Market Links, And Their Implications For Regulatory Policies," Papers t10, Columbia - Center for Futures Markets.
    20. Dumas, Bernard & Solnik, Bruno, 1995. " The World Price of Foreign Exchange Risk," Journal of Finance, American Finance Association, vol. 50(2), pages 445-479, June.
    21. Ramchand, Latha & Susmel, Raul, 1998. "Volatility and cross correlation across major stock markets," Journal of Empirical Finance, Elsevier, vol. 5(4), pages 397-416, October.
    22. King, Mervyn & Sentana, Enrique & Wadhwani, Sushil, 1994. "Volatility and Links between National Stock Markets," Econometrica, Econometric Society, vol. 62(4), pages 901-933, July.
    23. Harvey, Andrew & Ruiz, Esther & Sentana, Enrique, 1992. "Unobserved component time series models with Arch disturbances," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 129-157.
    24. Barr, David G. & Priestley, Richard, 2004. "Expected returns, risk and the integration of international bond markets," Journal of International Money and Finance, Elsevier, vol. 23(1), pages 71-97, February.
    25. Carrieri, Francesca & Errunza, Vihang & Hogan, Ked, 2007. "Characterizing World Market Integration through Time," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(04), pages 915-940, December.
    26. Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, January.
    Full references (including those not matched with items on IDEAS)

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rug:rugwps:11/715. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nathalie Verhaeghe). General contact details of provider: http://edirc.repec.org/data/ferugbe.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.