An Algorithm For Solving Multiple Objective Integer Linear Programming Problem

Moncef Abbas; Djamal Chaabane

RAIRO - Operations Research (2010)

  • Volume: 36, Issue: 4, page 351-364
  • ISSN: 0399-0559

Abstract

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In the present paper a complete procedure for solving Multiple Objective Integer Linear Programming Problems is presented. The algorithm can be regarded as a corrected form and an alternative to the method that was proposed by Gupta and Malhotra. A numerical illustration is given to show that this latter can miss some efficient solutions. Whereas, the algorithm stated bellow determines all efficient solutions without missing any one.

How to cite

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Abbas, Moncef, and Chaabane, Djamal. "An Algorithm For Solving Multiple Objective Integer Linear Programming Problem ." RAIRO - Operations Research 36.4 (2010): 351-364. <http://eudml.org/doc/105278>.

@article{Abbas2010,
abstract = { In the present paper a complete procedure for solving Multiple Objective Integer Linear Programming Problems is presented. The algorithm can be regarded as a corrected form and an alternative to the method that was proposed by Gupta and Malhotra. A numerical illustration is given to show that this latter can miss some efficient solutions. Whereas, the algorithm stated bellow determines all efficient solutions without missing any one. },
author = {Abbas, Moncef, Chaabane, Djamal},
journal = {RAIRO - Operations Research},
keywords = {Multiple objective programming; integer linear programming.; integer linear programming},
language = {eng},
month = {3},
number = {4},
pages = {351-364},
publisher = {EDP Sciences},
title = {An Algorithm For Solving Multiple Objective Integer Linear Programming Problem },
url = {http://eudml.org/doc/105278},
volume = {36},
year = {2010},
}

TY - JOUR
AU - Abbas, Moncef
AU - Chaabane, Djamal
TI - An Algorithm For Solving Multiple Objective Integer Linear Programming Problem
JO - RAIRO - Operations Research
DA - 2010/3//
PB - EDP Sciences
VL - 36
IS - 4
SP - 351
EP - 364
AB - In the present paper a complete procedure for solving Multiple Objective Integer Linear Programming Problems is presented. The algorithm can be regarded as a corrected form and an alternative to the method that was proposed by Gupta and Malhotra. A numerical illustration is given to show that this latter can miss some efficient solutions. Whereas, the algorithm stated bellow determines all efficient solutions without missing any one.
LA - eng
KW - Multiple objective programming; integer linear programming.; integer linear programming
UR - http://eudml.org/doc/105278
ER -

References

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  1. M. Abbas and M. Moulaï, Solving Multiple Objective Integer Linear Programming Problem. Ricerca Operativa29 (1999) 15-39.  
  2. P. Armand and C. Malivert, Determination of the Efficient Set in Multi-Objective Linear Programming. J. Optim. Theory Appl.70 (1991) 467-489.  
  3. P. Armand, Finding all maximal efficient faces in multi-Objective linear programming. Math. Programming61 (1993) 357-375.  
  4. M.S. Bazaraa and C.M. Shetty, Non linear Programming theory and Algorithms. J. Wiley, New York (1979).  
  5. H.P. Benson, Finding an initial Efficient Extreme Point for a Linear Multiple Objective Program. J. Oper. Res. Soc. (1981) 495-498.  
  6. H.P. Benson, Existence of Efficient solutions for vector Maximization Problems. J. Optim. Theory Appl.26 (1978) 569-580.  
  7. G.R. Bitran, Linear Multiple Objective Programs with zero-one variables. Math. Programming13 (1977) 121-139.  
  8. J.G. Ecker and I.A. Kouada, Finding Efficient Points for Multi-Objective Linear Programs. Math. Programming8 (1975) 375-377.  
  9. J.G. Ecker and I.A. Kouada, Finding All Efficient Extreme Points for Multi-Objective Linear Programs. Math. Programming14 (1978) 249-261.  
  10. R. Gupta and R. Malhotra, Multi-Criteria Integer Linear Programming Problem. Cahiers Centre Études Rech. Opér.34 (1992) 51-68.  
  11. A.T. Hamdy, Integer Programming, Theory, Applications and Computations. Academic Press (1975).  
  12. H. Isermann, The Enumeration of the set of all Efficient solutions for a Linear Multiple Objective Program. Oper. Res. Quarterly 28/3 (1977) 711-725.  
  13. D. Klein and E. Hannan, An Algorithm for the Multiple Objective Integer Linear Programming Problem. Eur. J. Oper. Res.9 (1982) 378-385.  
  14. J. Philip, Algorithms for the Vector Maximization Problem. Math. Programming2 (1972) 207-229.  
  15. B. Roy, Problems and methods with Multiple Objective functions. Math. Programming2 (1972) 207-229.  
  16. R.E. Steuer, Multiple Criteria Optimization theory, Computation and Applications. Wiley, New York (1985).  
  17. J. Teghem and P.L. Kunsh, A Survey of Techniques for Finding Efficient Solutions. Asia-Pacific J. Oper. Res.3 (1986) 95-108.  
  18. E.L. Ulungu and J. Teghem, Multi-Objective Combinatorial Optimization Problem: A Survey. J. Multi-Criteria Decision Anal.3 (1994) 83-104.  
  19. V. Verma, Constrained Integer Linear Fractional Programming Problem. Optimization21 (1990) 749-757.  
  20. P.L. Yu, Multiple Criteria Decision Making. Plenum, New York (1985).  
  21. M. Zeleny and P.L. Yu, The set of all non-dominated solutions in linear cases and Multi-criteria simplex method. J. Math. Anal. Appl.49 (1975) 430-468.  
  22. S. Zionts, Integer Programming with Multiple Objectives. Ann. Discrete Math.1 (1977) 551-562.  

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