多目标遗传算法在GPS动态车辆调度中的应用研究

围绕车辆调度问题多目标优化这一主题,依据企业现有的GPS定位系统,设计一种基于实数编码和精英保留策略,综合应用外部惩罚函数法的多目标遗传算法.并于其中创新性的引入基因校验算子,避免了重复车次的产生.程序使用Java语言编制,后台数据库使用oracle.实验结果表明,该算法能够充分满足系统硬约束条件,快速收敛于目标约束,完成车辆的优化调度,具有较强的实用价值.     

Online deadline scheduling with preemption penalties

This paper presents a study of the problem of online deadline scheduling under the preemption penalty model of Zheng, Xu, and Zhang (2007). In that model, each preemption incurs a penalty of ρ times the weight of the preempted job, where ρ ? 0 is the preemption penalty parameter. The objective is to maximise the total weight of jobs completed on time minus the total penalty.     

钢筋混凝土梁的优化设计

针对钢筋混凝土结构承载力和工程造价要求,采用罚函数法,对钢筋混凝土梁的截面尺寸和钢筋的用量进行优化设计.提出了采用矩阵实验室(MATLAB)优化工具箱的方法,对C20到C40混凝土和HRB335,HRB400钢筋进行多种组合.结果显示在满足承载力要求及规范所规定的构造要求条件下,选用C35和HRB400为最经济的设计方案.     

Optimal error estimates of the penalty method for the linearized viscoelastic flows

In this article, optimal error estimates of the penalty method for the linearized viscoelastic flows equations arising in the Oldroyd model are derived. Furthermore, error estimates for the backward Euler time discretization scheme in L ² and H ¹-norms are obtained.     

Absolute penalty and shrinkage estimation in partially linear models

In the context of a partially linear regression model, shrinkage semiparametric estimation is considered based on the Stein-rule. In this framework, the coefficient vector is partitioned into two sub-vectors: the first sub-vector gives the coefficients of interest, i.e., main effects (for example, treatment effects), and the second sub-vector is for variables that may or may not need to be controlled. When estimating the first sub-vector, the best estimate may be obtained using either the full model that includes both sub-vectors, or the reduced model which leaves out the second sub-vector. It is demonstrated that shrinkage estimators which combine two semiparametric estimators computed for the full model and the reduced model outperform the semiparametric estimator for the full model. Using the semiparametric estimate for the reduced model is best when the second sub-vector is the null vector, but this estimator suffers seriously from bias otherwise. The relative dominance picture of suggested estimators is investigated. In particular, suitability of estimating the nonparametric component based on the B-spline basis function is explored. Further, the performance of the proposed estimators is compared with an absolute penalty estimator through Monte Carlo simulation. Lasso and adaptive lasso were implemented for simultaneous model selection and parameter estimation. A real data example is given to compare the proposed estimators with lasso and adaptive lasso estimators.     

塑料圆形管材挤出胀大的数值模拟

挤出胀大是塑料圆形管材生产过程中不可避免的一种现象。在实际生产中,目前主要采用传统经验试差方法设计挤出口模,缺乏相关的理论研究及指导。本研究针对管材挤出工艺,建立了几何模型和数学模型,采用稳态不可压缩流体流动的有限元模型,模拟了PTT流体经过圆环口模挤出胀大现象。采用罚有限元将连续性方程引入动量方程,减少了同时计算的变量数,有效提高了计算效率。模拟结果表明,口模出口处聚合物熔体表面第一法向应力差急剧增大。口模尺寸一定时,聚合物的挤出胀大率随体积流量的增大而增大。同时也系统分析了口模尺寸对挤出胀大的影响规律。模拟结果对实际生产中的模具设计具有一定的指导意义。     

刑罚人道主义若干问题探讨

世界范围内的刑法改革正朝着文明、人道的方向前进,中国的刑法也在为此积极探索。对刑罚人道主义的探讨无疑是一个很好的开端。国内外学者对人道的问题已有一些研究。文章拟通过对刑罚人道主义界定内涵,及我国刑法中人道主义的检讨,最终明了人道对于刑罚不但过去和现在如影随形,更是将来刑法的前进方向。     

A natural gas cash-out problem: A bilevel programming framework and a penalty function method

One of the many complex problems that arise from the transmission and marketing of natural gas is when a shipper draws a contract with a pipeline company to deliver a certain amount of gas among several points. What is actually delivered is often different from the amount that had been originally agreed upon. This phenomenon is called an imbalance. When an imbalance occurs, the pipeline penalizes the shipper by imposing a cash-out penalty policy. Since this penalty is a function of the operating daily imbalances, an important decision-making problem for the shippers is how to carry out their daily imbalances so as to minimize their incurred penalty. In this paper, we introduce the problem of minimizing the cash-out penalty costs from the point of view of a natural gas shipping party. We present a mixed integer bilevel linear programming model and discuss its underlying assumptions. To solve it efficiently, we reformulate it as a standard mathematical program and describe a penalty-function algorithm functions for its solution. The algorithm is well-founded and its convergence is proved. Results of numerical experiments support the algorithm’s robustness providing a valuable solution technique for this very important and complex problem in the natural gas market.     

An Interval Maximum Entropy Method for Quadratic Programming Problem

1 IntroductionThe maximum entropy method, also calledaggregate function method, is mainly based on theentropy function theory in information science. Ituniformly approximates the primitive function viaconstructing maximum entropy function. Owing tothe favorable properties of the maximum entropyfunction, it is convenient to do theory and algorithmresearch. In recent years, many good results insolving nonlinear programming problems such asmini-max problems, nonlinear ill-posed problems andnonlin…     

罚函数乘子的初值选取和多步长问题

由于较大规模非线性问题本身的复杂性，罚函数乘子的初值选取是罚函数乘子法的一个非常重要的问题，另一个非常重要的问题就是步长选取。通过分析罚函数的基本作用和较大规模非线性系统各变量梯度之间的关系，提出了罚函数乘子初值选取时应考虑的问题和多步长处理方法。