2022
DOI: 10.3934/jimo.2021115
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Filled function method to optimize supply chain transportation costs

Abstract: The transportation-based supply chain model can be formulated as the constrained nonlinear programming problems. When solving such problems, the classic optimization algorithms are often limited to local minimums, causing the difficulty to find the global optimal solution. Aiming at this problem, a filled function method with a single parameter is given to cross the local minimum. Based on the characteristics of the filled function, a new filled function algorithm that can obtain the global optimal solution is… Show more

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Cited by 8 publications
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