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An Improved Exact Algorithm for a Territory Design Problem with pCenterBased Dispersion Minimization M. Gabriela Sandoval Department of Computers, Electronics and Mechatronics Universidad de las Americas Puebla (UDLAP) San Andres Cholula, Puebla 72820, Mexico maria.sandovalel@udlap.mx Juan A. Daz Department of Actuary, Physics and Mathematics Universidad de las Americas Puebla (UDLAP) San Andres Cholula, Puebla 72820, Mexico juana.diaz@udlap.mx Roger Z. RosMercado Graduate
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Identify the problem you want to solve with the improved exact algorithm.
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An improved exact algorithm is a refined mathematical approach designed to solve optimization problems with increased efficiency and accuracy compared to traditional exact algorithms.
Individuals or organizations engaged in complex optimization tasks, such as researchers, data analysts, or companies implementing advanced operational strategies, may be required to document and file an improved exact algorithm.
To fill out an improved exact algorithm, one must clearly define the problem parameters, specify constraints, outline the optimization criteria, and detail the steps of the algorithm while ensuring all calculations are accurate and reproducible.
The purpose of an improved exact algorithm is to provide a systematic method for finding the optimal solution to a problem in a precise manner, improving upon previous methods in terms of speed and result accuracy.
Information that must be reported includes the problem definition, algorithm specifications, input data, output results, performance metrics, and any assumptions or limitations of the algorithm.
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