FINDING A GUARANTEED SUB-OPTIMAL SOLUTION ON THE CONSTRAINTS IN THE INTEGRATED KNOCKET PROBLEM

  • N. Mamedov Institute of Control Systems of the National Academy of Sciences of Azerbaijan
Keywords: Integer knapsack problem, guaranteed solution and guaranteed suboptimal solution with respect to constraints of the integer knapsack problem, dichotomy principle, computational experiments.

Abstract

In this article, the concepts of a guaranteed solution and a guaranteed suboptimal solution for the integer knapsack problem are derived. A method for finding a guaranteed suboptimal solution has been developed on the basis of one economic interpretation. Using this method, one specific problem was solved.

Author Biography

N. Mamedov , Institute of Control Systems of the National Academy of Sciences of Azerbaijan

Ph.D. in mathematics, doctoral student

References

Korbut A.A., Finkelstein Yu.Yu. Discrete programming. M .: Science,1969, 368 p.

Finkelstein Yu.Yu. Approximate methods and applied problems of discrete programming. Moscow: Nauka, 1976.

Emelichev V.A., Komlik V.N. A method for constructing a sequence of plans for solving discrete optimization problems. M .:Nauka, 1981, 208 p.

Martello S., Toth P. Knapsack problems, Algorithm and Computers implementations. John Wiley & Sons, Chichster, 1990, 296 p.

Kellerer H., Pferschy U., Pisinger D. Knapsack problems. Springer-Verlag, Berlin, Heidelberg, NewYork, 2004, 546 p.

Sigal I.Kh. , Ivanova A.P. An introduction to applied discrete programming of a computer model and an algorithm. M. Fizmat lit. , 2007, 304 p.

Mamedov K.Sh. Research on integer optimization (methods, algorithms and computational experiments). Lambert Academic Publishing, (Germany) 2012, 276 p.

Mamedov K.Sh. Methods for solving various classes of discrete optimization problems. Baku- "ELM" -2011. 343st.

Gary M., Johnson D. Computing machines and intractable problems. M .: Mir, 1982. Page 416

Kovalev M.M. Discrete optimization (integer programming). M. URSS, 2003, 246 art.

Mansimov KB, Mamedov KK A method for solving a partially-integer knapsack problem by narrowing the boundary of values ​​of the objective function and variables. Automation and computer technology No. 4, Riga, 2010, p. 40 - 53.

Mamedov K. Sh., Mamedov K. K., Elchueva S. K. Solving the Mixed-Integer Knapsack Problem by Decrease of Dimension and use of Dynamic programming. Automatic Control and Computer Sience, 2015, vol 49, no 4, pp 231-238. Mamedov K.Sh., Mamedov N.N., The concept of a guaranteed solution and finding it in a Boolean programming problem. "Reports" of the National Academy of Sciences of Azerbaijan, 2012, No. 6, art. 19-26. (In Azerb. Language.)

Mamedov K.Sh., Mamedov NN, Algorithms for constructing a guaranteed solution and a guaranteed approximate solution of the multidimensional knapsack problem. International scientific and technical journal "Problems Management and Informatics "2014, No. 5, p. 30-37.

K. Sh. Mamedov, N. N. Mamedov“Guaranteed Solution and its Finding in the Integer Programming Problems” International Journal of Applied Science and Technology Vol. 5, No. 4, August 2015, p. 46-54.

Mamedov K.Sh., Mamedov N. N The concept of a guaranteed solution by functional for a multidimensional knapsack problem. International scientific and technical journal "Radioelectronics, Informatics, Management" 2018, No. 1 (44), with. 167-174. 16. Mamedov K.Sh., Mamedov NN, Methods for finding a guaranteed solution and a guaranteed suboptimal solution in an integer programming problem. Baku "Elm", 2018, 206 st. ... (In Azerb. Language.)

Published
2021-04-02
How to Cite
Mamedov , N. 2021. “FINDING A GUARANTEED SUB-OPTIMAL SOLUTION ON THE CONSTRAINTS IN THE INTEGRATED KNOCKET PROBLEM”. EurasianUnionScientists 4 (2(83), 37-42. https://doi.org/10.31618/ESU.2413-9335.2021.4.83.1263.