改进的蚁群算法在矿山物流配送路径优化中的研究

物流配送路径优化问题是公认的NP难题，本文运用一种新型的模拟进化算法——蚁群算法对其进行求解。针对车辆路径问题及蚁群算法各自的特点，本文对蚁群算法进行多方面改进，以优化其搜索能力和加快收敛速度。文中通过对实例计算求解，取得了满意的结果，从而证明了新算法的有效性。     

轧机垂直系统动力学参数辨识

 针对轧机垂直系统动力学参数可信度不足等问题，提出一种基于实测数据的改进粒子群算法辨识轧机垂直系统动力学参数的方法。首先,将轧机垂直系统刚度和阻尼考虑成达芬振子和范德波尔振子，构建轧机垂直系统非线性动力学模型，并对粒子群算法进行改进；然后，通过数值仿真算例辨识得到系统在感染噪声和不含噪声时的动力学参数，验证了该算法的有效性；最后，以现场某轧机垂直系统为研究对象，基于现场实测数据，应用该算法进行辨识，得到了轧机垂直系统动力学参数估计，通过实测位移、速度和加速度信号分别与辨识后的位移、速度和加速度信号进行对比，证明该方法辨识轧机垂直系统动力学参数结果可靠，具有一定的工程应用价值。     

钢铁生产批量计划软件系统

本文实现了一个以钢铁生产为背景的批量计划的软件系统。系统通过采用单旅行商、多旅行商问题，装箱问题，遗传算法等数学模型和算法，对钢铁生产中炼钢－连铸调度计划、热轧板带轧制计划和热轧钢管轧制与切割计划的安排在微机上作了实现。     

面向全局和工程优化问题的混合进化JAYA算法

为了更好求解复杂函数优化和工程约束优化问题，进一步增强JAYA算法的寻优能力，提出一种面向全局优化的混合进化JAYA算法。首先在计算当前最优和最差个体时引入反向学习机制，提高最优和最差个体跳离局部极值区域的可能性；然后在个体位置更新中引入并融合正弦余弦算子和差分扰动机制，不仅增加了种群的多样性，而且较好平衡与满足了算法在不同迭代时期对探索和挖掘能力的不同需求；最后在算法结构上采用奇偶不同的混合进化策略，有效利用不同演化机制的优势结果，进一步提升了算法的收敛性和精度。之后给出了算法流程伪代码，理论分析证明了改进算法的时间复杂度与基本JAYA相同，而通过6种代表性算法在包含和组合了30个基准函数的CEC2017测试套件上进行的多维度函数极值优化测试，以及对拉伸弹簧、波纹舱壁、管柱设计、钢筋混凝土梁、焊接梁和汽车侧面碰撞6个具有挑战性的工程设计问题的优化求解，都清楚地表明改进后算法的寻优精度、收敛性能和求解稳定性均有显著提升，在求解CEC复杂函数和工程约束优化问题上有着明显优势。      

基于启发式算法的冷藏车配载优化

冷藏车配载是一个具有实际意义的问题，同时也是一个复杂的组合优化问题。本文在充分考虑了冷藏运输的特点，采用整数切割、空间合并等方法，提出了解决该问题的启发式算法，并开发了相关系统。与铁路现场的实际作业情况进行了对比，证明了该算法的有效性，能够应用于冷藏车的配载。     

基于红外成像技术的锌电解极板故障检测系统

针对传统目标检测算法泛化能力弱、特征规则设计复杂、现有深度学习模型对干扰因素较多的红外图像检测效果较差的问题，设计和开发了基于红外成像技术的电解槽极板故障检测系统。根据电解过程极板的工作情况以及实际需求，提出了极板故障检测算法、红外图像畸变矫正算法，完成了系统数据库概要设计以及软件功能设计，开发了电解槽极板故障检测系统，实现了电解过程故障极板的准确识别与定位功能，提高了电解过程的电流效率。     

基于鱼群算法的多维背包问题研究

将鱼群算法应用于求解多维背包问题,提出一种求解多维背包问题的鱼群算法.MKPAFSA.定义MKPAFSA 中的各元素,且引入启发因子和动态因子,并对鱼群算法进行了改进和优化.它减少了人工鱼的搜索时间,有效改善了鱼群算法后期收敛较慢且一般仅能得到满意解域的缺陷.仿真试验取得了较好的结果.     

有限差分改进算法及温度场求解实例验证

针对温度场实时仿真中，当节点数目众多，节点温度精度要求较高时求解速度缓慢的问题，本文在传统有限差分离散方程组的基础上，采用局部代数消元策略，导出了二维坐标下无步长条件△x=△y限制的13点差分改进算法。铜闪速炉反应塔炉壁温度场仿真实例表明，与传统5点差分算法相比，该算法具有收敛速度快、迭代次数少、求解速度显著提高的特点，为实时仿真系统中的温度场求解提供了一种新的快速求解算法。     

冷轧厂MS成本主料分摊系统的开发

从冷轧厂成材率不能准确反映实际生产情况的事实入手，分析产生问题的根源，提出目前冷轧产品成本主料分摊系统是解决以上问题及为财务部门进行成本核算提供数据的唯一可靠，并且非常有效的途径，提出了分摊算法，并对功能模块的设置作了说明。     

智能蚁群算法

蚁群算法是一种新颖的求解复杂优化组合问题的模拟进化算法,它具有典型的群体智能的特性。该算法的主要特点是正反馈、分布式计算、鲁棒性和并行性等,在许多领域都得到了成功应用。本文主要对蚁群算法的原理、特性及蚁群算法的改进算法进行了总体介绍。     

Scheduling problem for hot-rolling seamless steel tube production

Taking the seamless tube plant of Baoshan Iron & Steel Complex in China as the background,we analyze the characters of hot rolling seamless steel tube:multi varieties,low volume,complicated production process,flexible production routes.Then integrated scheduling problem for hot rolling seamless steel tube production is studied,which covers two key points;order-grouping problem and solution method for flowshop/jobshop scheduling problem.On the basis of these two problems,integrated scheduling decision system is developed.The design idea,function flow sheet,data processing method,and functional module of visualized human-computer interactive scheduling system implemented in seamless steel tube plant of Shanghai Baoshan Iron & Steel Complex are described into detail.Compared with manual system,the performance of system shows the applicability and superiority in several criteria.     

Multiple Causes of Difficulty in Insight: The Case of the Nine-Dot Problem.

Theories of insight problems are often tested by formulating hypotheses about the particular difficulties of individual insight problems. Such evaluations often implicitly assume that there is a single difficulty. We argue that the quantitatively small effects of many studies arise because the difficulty of many insight problems is determined by multiple factors, so the removal of 1 factor has limited effect on the solution rate. Difficulties can reside either in problem perception, in prior knowledge, or in the processing of the problem information. We support this multiple factors perspective through 3 experiments on the 9-dot problem (N.R.F. Maier, 1930). Our results lead to a significant reformulation of the classical hypothesis as to why this problem is difficult. The results have general implications for our understanding of insight problem solving and for the interpretation of data from studies that aim to evaluate hypotheses about the sources of difficulty of particular insight problems. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Point-In-Polyhedra Test with Direct Handling of Degeneracies

The Point-In-Polyhedron problem is to check whether a point is inside or outside of a given polyhedron. When a de-generate case is detected, the traditional ray-crossing algorithms avoid the case by selecting a different ray or erase the case by per-turbing input data. This paper introduces a Threshold-Based Ray-Crossing (TBRC) algorithm for solving the Point-In-Polyhedron problem. The TBRC algorithm copes directly with degenerate cases by checking whether to count the face intersecting with the ray.It is worth mentioning that the TBRC algorithm can handle all degeneracies without extra computation and storage. Moreover, we analyze the basic algorithm and examine how to accelerate it. The experimental results show that TBRC algorithm is highly effi-cient and robust for the Point-In-Polyhcdron problem, compared to a classical tetrahedron-based algorithm without pry-processing.     

The analysis of problems and prediction of group problem solving.

The time to solve a multiple-stage problem is the sum of the times consumed by separate stages. If each stage is a random all-or-none process, then time to complete a stage is an exponentially distributed random variable, and time to complete the problem will have a gamma distribution (under suitable simplifying assumptions). From this theory, the number of stages in a problem can be estimated and goodness-of-fit tested. Results on 3 word puzzles, administered to 178 individual college students, agreed with theory, and the estimates of number of stages in each problem agreed well with independent judgments of number of stages. The same problems also were administered to groups of 4 Ss. The data suggest that all Ss progress at their usual pace toward solution, except that an S who made a mistake in interpreting the problem consumes and wastes his share of the group's time. This result agrees with the additional observation that the apparent social structure of the groups, as determined from analysis of sociometric choices, was equalitarian. (18 ref.) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

浅议工程质量问题原因及处理程序

通过对各类工程质量问题性质、特点和表现形式的剖析,使我们真正领悟其产生的根源和带来的巨大危害,告诫工程建设各方要以科学、严谨的态度对待每一个细小环节。     

Where are the generators?

Organizational creativity is presented as four distinctly different sequential stages of a dynamic cognitive creative problem solving process: generation, conceptualization, optimization, and implementation. The generation stage is the activity that initiates the creative process. It is disruptive, because it entails proactively and deliberately seeking and discovering brand new problems and opportunities. Often called opportunity finding, generation results from restless discontent with the status quo. This activity is different from the second stage, conceptualization, which other researchers have previously described as problem construction, identification, or formulation. Such second stage activity gives definition to a newly discovered problem freshly emerging from the first stage or to a presented or otherwise already existing problem. We provide research showing that the people who prefer the generation stage activity (generators) are underrepresented in industrial and business organizations and are likely to be found in occupations normally found outside such organizations, for example, artists, writers, designers, teachers, and academic institutions. We argue that organizations seeking increased creativity and innovation could do so by understanding and recognizing the contributions made by people preferring the generator style, and by making generator activity more attractive for all members of the organization. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

中小企业融资困境及对策研究

近几年来,国家为改善中小企业融资环境先后采取了许多措施,但实践上,中小企业仍处于融资的弱势地位,融资渠道不畅已成为制约中小企业发展的困境。要解决中小企业融资难的问题,一方面需要尽快建立中小企业的信用保证体系,一方面需要政府出台扶持中小企业融资的政策法规,包括借鉴国外经验,尽快完善并落实各项针对中小企业的融资政策支持,让中小企业步入良性发展。文章论述了目前中小企业融资的现状,分析了中小企业融资难的各种原因,最后对缓解中小企业融资难的问题提出了对策和建议。     

由外壁温度场预测二维双层球壳内壁几何形状

本文介绍了部分几何形状未知的传导问题，通过引入辅助问题并利用积分变换方法，推导出二维，双层球壳（内表面温度一定）红外ＣＡＴ解法，简述了其数值实验结果。     

三维圆柱体系红外CAT解法

红外ＣＡＴ即红外计算机辅助透视，它是一项把红外测温技术与解热传导反问题结合起来的高新技术．本文首次建立了三维圆柱体系热传导反问题的求解方法，推导出了内表面温度一定情况下的红外ＣＡＴ解法．最后，用数值实验验证了解法的正确性和可行性