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arXiv 1304.7461math.OCcs.SYeess.SY
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热带数学中的一个最大化问题:完整解法与应用示例

A maximization problem in tropical mathematics: a complete solution and application examples

St. Petersburg State University(圣彼得堡国立大学)

Nikolai Krivulin

AI总结:

本文在热带数学框架下提出多维优化问题,通过乘法共轭转置算子最大化非线性目标函数,并应用于项目调度中的时间偏差问题,给出完整解法与数值示例。

摘要:

在热带数学设定中,提出一个多元优化问题,旨在最大化一个通过向量在有限维半模块上定义的乘法共轭转置算子的非线性目标函数。该研究受项目调度问题启发,其中需在活动起始或完成时间的偏差受各种 precedence 约束限制下最大化。为求解无约束问题,首先建立目标函数的上界,然后求解向量方程组以找到所有达到该上界的向量。作为推论,讨论了扩展解法以处理约束问题的方法。所获得的结果应用于提供完整直接解法以解决项目调度中的激励问题。还给出了最优调度发展的数值示例。

英文摘要:

A multidimensional optimization problem is formulated in the tropical mathematics setting as to maximize a nonlinear objective function, which is defined through a multiplicative conjugate transposition operator on vectors in a finite-dimensional semimodule over a general idempotent semifield. The study is motivated by problems drawn from project scheduling, where the deviation between initiation or completion times of activities in a project is to be maximized subject to various precedence constraints among the activities. To solve the unconstrained problem, we first establish an upper bound for the objective function, and then solve a system of vector equations to find all vectors that yield the bound. As a corollary, an extension of the solution to handle constrained problems is discussed. The results obtained are applied to give complete direct solutions to the motivating problems from project scheduling. Numerical examples of the development of optimal schedules are also presented.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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