探讨绿色生态住宅小区的规划设计问题

绿色生态住宅小区主要是在尊重生态性的基础上，通过设计手法上的创新，塑造出自然生态的居住环境。本文就对绿色生态住宅小区的规划设计问题进行了分析与论述。     

Variable neighbourhood simulated annealing algorithm for capacitated vehicle routing problems

This article presents the variable neighbourhood simulated annealing (VNSA) algorithm, a variant of the variable neighbourhood search (VNS) combined with simulated annealing (SA), for efficiently solving capacitated vehicle routing problems (CVRPs). In the new algorithm, the deterministic ‘Move or not’ criterion of the original VNS algorithm regarding the incumbent replacement is replaced by an SA probability, and the neighbourhood shifting of the original VNS (from near to far by k← k+1) is replaced by a neighbourhood shaking procedure following a specified rule. The geographical neighbourhood structure is introduced in constructing the neighbourhood structures for the CVRP of the string model. The proposed algorithm is tested against 39 well-known benchmark CVRP instances of different scales (small/middle, large, very large). The results show that the VNSA algorithm outperforms most existing algorithms in terms of computational effectiveness and efficiency, showing good performance in solving large and very large CVRPs.     

论加强水工工程建筑质量策略

目前,我国的水利事业呈现出稳定健康的发展态势。因此,为了提高水工建设工程的社会效益和经济效益,必须重视水工建设的施工质量。本文通过分析水工工程中常见的质量问题、主要成因,提出了相应的施工和管理措施,以供同行借鉴。     

试论民用建筑施工中质量通病及解决措施

随着社会快速发展和经济空前繁荣,居民的生活水平产生了很大的提高,人们更加关注居住的环境。因此,民用建筑质量的通病成为了建筑工程建设中的一个突出问题。     

一维波动方程Dirichlet问题解的结构

提出了一类常见一维波动方程Dirichlet问题解的结构，从而得到该问题的简捷算法。     

AN EFFICIENT META-HEURISTIC ALGORITHM FOR ROUTING PRODUCT COLLECTING VEHICLES OF DEHYDRATION PLANTS. II. ALGORITHM PERFORMANCE AND CASE STUDIES

Routing of vehicle fleet for collecting newly cropped raw materials for multi-product dehydration plants is a component of plant production schedule of utmost significance. A meta-heuristic algorithm for efficiently solving the collecting vehicle routing problem was developed and analyzed in detail in Tarantilis and Kiranoudis (2000). Meta-heuristic algorithms are broadly characterized by a stochastic nature in producing tender solution configurations in linear search terms, which sweep the huge solution space in a guided and rational way. Algorithm performance is examined through an analysis of the impact of model parameters on solution procedure during the execution of typical routing problems. The most important model parameter examined was found to be the value of the initial threshold as well as the way that the value of this actual parameter is appropriately adjusted during the optimization process. The main characteristic of the algorithm is the way that threshold is not only lowered but also raised, or backtracked, depending on the success of the inner loop iterations to provide for an acceptable new solution that would replace an older one. An important feature of the algorithm is the fact that appearance of better configurations within a process run is distributed according to the Poisson probability distribution. The suggested algorithm is tested against typical literature benchmarks as well against real-world problem encountered in the production planning procedures of dehydration plants in Greece.     

朔州市民众环保意识及环保行为调查分析

针对朔州市民众环保意识及环保行为进行了调查分析，通过采用面对面、合作单位组织派发问卷的调查方式，总结得出了朔州目前所面临的主要环境问题及民众的态度和看法，在此基础上，对政府提出了相应建议，以期改善朔州市环境质量。     

金陵连续重整装置长周期运转的问题及对策

中国石油化工股份有限公司金陵分公司连续重整装置采用UOP超低压专利技术,设计规模1.0 M t/a。装置运行过程中发现因循环水质量差和流量小导致增压机冷却效果差;因重整产氢纯度低导致其中C2以上烃类在氢还原气氛下发生氢解反应;电阻丝局部积炭,热量传递效果变差;氧化镁绝缘层过热变薄失去绝缘效果,致使还原电加热器接地故障跳停;因抽提塔界面波动过大、溶剂脏、消泡剂泵故障、汽提塔负荷增大引起汽提塔冲塔等问题。提出了优化循环水流程、改造抽空器、引用PSA高纯度氢作为还原氢、降低抽提溶剂比、改变异构化轻烃流程等一系列措施,基本解决了制约装置长周期运行的问题。同时也指出了制约装置大负荷生产存在的＂瓶颈＂。     

Generation scheduling in smart grid environment using global best artificial bee colony algorithm

Generation scheduling is an important concern of the current power system which is suffering from many obstacles of limited generation resources, grown energy demand and fuel price, inconsistent load demand and fluctuations of available wind power in case of the thermal–wind system. Smart grid system has a great potential of tumbling existing power system difficulties with intelligent infrastructure and computation technologies. Three different distributed energy resources, namely, distributed generation, demand response and gridable vehicles are used in this paper to overcome the power system hitches. The classical generation scheduling is solved with insertion of the cost of demand response and the cost model pertaining to underestimation and overestimation of fluctuating wind power. The modified optimization problem is solved using an efficient Global best artificial bee colony algorithm for 10 generating units test system. Generation scheduling in the smart grid environment yields a significant reduction in the total cost.     

全光纤电流互感器受导体偏心影响的机理

针对全光纤电流互感器受导体偏心影响的问题,在光学电流互感器传感部分的分布参数模型的基础上,建立了与之对应的全光纤电流互感器传感环分布参数模型。基于传感环的分布参数模型提出了全光纤电流互感器受导体偏心影响的产生机理,该机理揭示了全光纤电流互感器受到导体偏心影响的原因,即为传感光纤中的线性双折射和传感环上不均匀磁场的共同作用。同时,分析了被测导体偏心对测量准确度的影响,得出偏心只会影响全光纤电流互感器比差的大小而不会影响线性度的结论。实验结果与理论分析一致,表明所提出的理论和结论的正确性。