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首页> 外文期刊>IEEE Transactions on Fuzzy Systems >A Linear Programming Approach for Minimizing a Linear Function Subject to Fuzzy Relational Inequalities With Addition–Min Composition
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A Linear Programming Approach for Minimizing a Linear Function Subject to Fuzzy Relational Inequalities With Addition–Min Composition

机译:具有加减组合的最小化模糊关系不等式的线性函数的线性规划方法

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摘要

In this paper, we study an optimization problem of minimizing a linear function subject to fuzzy relational inequalities with the addition–min composition. This optimization setting has recently been proposed to model the network cogestion issue when a BitTorrent-like peer-to-peer file-sharing system is used for data transmission. In a 2014 paper, a pseudominimal index (PMI)-based approach was proposed to search for an optimal solution. It turns out that the PMI-based approach may require to solve several to many linear programming problems in order to get an optimal solution. In this paper, we point out that the feasible domain is indeed convex. And we only need to solve a single linear programming problem to generate an optimal solution for the original optimization problem. Furthermore, our approach could be extended to the case with a nonlinear continuous objective function.
机译:在本文中,我们研究了一个具有加减关系的最小化线性函数的优化问题,该线性函数受模糊关系不等式的影响。最近提出了此优化设置,以在将类似BitTorrent的对等文件共享系统用于数据传输时对网络拥塞问题进行建模。在2014年的论文中,提出了一种基于伪最小索引(PMI)的方法来寻找最佳解决方案。事实证明,基于PMI的方法可能需要解决多个线性编程问题才能获得最佳解决方案。在本文中,我们指出可行域确实是凸的。而且,我们只需要解决一个线性规划问题就可以为原始优化问题生成最优解。此外,我们的方法可以扩展到具有非线性连续目标函数的情况。

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