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Algebraic Solution of Tropical Polynomial Optimization Problems

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  • Nikolai Krivulin

    (Faculty of Mthematics and Mechanics, St. Petersburg State University, Universitetskaya Emb. 7/9, 199034 St. Petersburg, Russia)

Abstract

We consider constrained optimization problems defined in the tropical algebra setting on a linearly ordered, algebraically complete (radicable) idempotent semifield (a semiring with idempotent addition and invertible multiplication). The problems are to minimize the objective functions given by tropical analogues of multivariate Puiseux polynomials, subject to box constraints on the variables. A technique for variable elimination is presented that converts the original optimization problem to a new one in which one variable is removed and the box constraint for this variable is modified. The novel approach may be thought of as an extension of the Fourier–Motzkin elimination method for systems of linear inequalities in ordered fields to the issue of polynomial optimization in ordered tropical semifields. We use this technique to develop a procedure to solve the problem in a finite number of iterations. The procedure includes two phases: backward elimination and forward substitution of variables. We describe the main steps of the procedure, discuss its computational complexity and present numerical examples.

Suggested Citation

  • Nikolai Krivulin, 2021. "Algebraic Solution of Tropical Polynomial Optimization Problems," Mathematics, MDPI, vol. 9(19), pages 1-18, October.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:19:p:2472-:d:649581
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    References listed on IDEAS

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    1. Nikolai Krivulin, 2020. "Using tropical optimization techniques in bi-criteria decision problems," Computational Management Science, Springer, vol. 17(1), pages 79-104, January.
    2. Nikolai Krivulin, 2020. "Using Parameter Elimination to Solve Discrete Linear Chebyshev Approximation Problems," Mathematics, MDPI, vol. 8(12), pages 1-16, December.
    3. Nikolai Krivulin, 2017. "Using tropical optimization to solve constrained minimax single-facility location problems with rectilinear distance," Computational Management Science, Springer, vol. 14(4), pages 493-518, October.
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