A Nonlinear Programming Algorithm for Location Problem on Forest Fire Emergency System

机译：森林消防应急系统位置问题的非线性规划算法

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In order to obtain the best location of forest fire emergency system, the function between damage cost and reaction time of the fire station is firstly made. Then to make the expectation of the fire damage least, a multi-spot locating mathematic model based on the relationship function is built. Finally, as the matrix equations in the model are 2 orders, a nonlinear programming algorithm, which is developed from the Lagrange method, is introduced to solve the problem.

机译：为了获得森林消防应急系统的最佳位置，首先进行了消防站损坏成本和反应时间的函数。然后，建立了基于关系功能的多点定位数学模型的火灾损坏。最后，随着模型中的矩阵方程是2个订单，引入了从拉格朗日方法开发的非线性编程算法，以解决问题。

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《International Conference on Logistics Systems and Intelligent Management》|2010年||共3页
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作者
Bai Tianyang;
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正文语种
中图分类 F252-53;
关键词
Forest Fire Emergency System; Multi-spot Locating Model; Nonlinear Programming;

机译：森林消防应急系统;多点定位模型;非线性编程;

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专利

1. ALGORITHMS FOR PARALLELIZING A MATHEMATICAL MODEL OF FOREST FIRES ON SUPERCOMPUTERS AND THEORETICAL ESTIMATES FOR THE EFFICIENCY OF PARALLEL PROGRAMS [J] . N. V. Baranovskiy Cybernetics and Systems Analysis . 2015,第3期

机译：超级计算机上森林火灾数学模型的并行算法和并行程序效率的理论估计
2. A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms [J] . Yang LL, Jones BF, Yang SH European Journal of Operational Research . 2007,第2期

机译：通过遗传算法优化消防站位置的模糊多目标规划
3. A Survey of Machine Learning Algorithms Based Forest Fires Prediction and Detection Systems [J] . Abid Faroudja Fire Technology . 2021,第2期

机译：基于机器学习算法的森林火灾预测和检测系统调查
4. A Nonlinear Programming Algorithm for Location Problem on Forest Fire Emergency System [C] . Bai Tianyang International Conference on Logistics Systems and Intelligent Management . 2010

机译：森林消防应急系统位置问题的非线性规划算法
5. ALGORITHMIC PROBLEMS IN FACTORABLE PROGRAMMING WITH APPLICATION TO SOLUTION OF A NONLINEAR PROGRAMMING PROBLEM IN SYSTEMS DYNAMICS. [D] . NASSER, AHMED AWAD ABD EL-FATAH. 1985

机译：可分解程序设计中的算法问题，用于解决系统动力学中的非线性程序设计问题。
6. A benchmark dataset for ensemble framework by using nature inspired algorithms for the early-stage forest fire rescue [O] . HongGuang Zhang, ZiHan Liang, HuaJian Liu, 2020

机译：通过使用自然启发式算法进行早期森林火灾救援的整体框架基准数据集
7. Optimization on Fire Station Location Selection for Fire Emergency Vehicles Using K-means Algorithm [O] . Yunqian Wang 2018

机译：用K均值算法对消防应急车辆的消防站定位选择优化

A Nonlinear Programming Algorithm for Location Problem on Forest Fire Emergency System

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