Multi-objectives Tabu Search based algorithm for progressive resource allocation

Military course of action planning involves time and space synchronization as well as resource and asset allocation. A mission could be seen as a defined set of logical ordered tasks with time and space constraints. The resources to task rules require that available assets should be allocated to each task. A combination of assets might be required to execute a given task. The couple (task, resources) constitutes an action. This problem is formulated as a multi-objectives scheduling and resource allocation problem. Any solution is assessed based on a number of conflicting and heterogeneous objectives. In fact, military planning officers should keep perfecting the plan based on the Commander’s criteria for success. The scheduling problem and resource allocation problem are considered as NP-Hard Problems [A. Guitouni, B. Urli, J.-M. Martel, Course of action planning: A project based modelling, Working Paper, Faculté des sciences de l’ administration, Université Laval, Québec, 2005]. This paper is concerned with the multi-objectives resource allocation problem. Our objective is to find adequate resource allocation for given courses of action schedule. To optimize this problem, this paper investigates non-exact solution methods, like meta-heuristic methods for finding potential efficient solutions. A progressive resource allocation methodology is proposed based on Tabu Search and multi-objectives concepts. This technique explores the search space so as to find a set of potential efficient solutions without aggregating the objectives into a single objective function. It is guided by the principle of maximizing the usage of any resource before considering a replacement resource. Thus, a given resource is allocated to the maximum number of tasks for a given courses of action schedule. A good allocation is a potential efficient solution. These solutions are retained by applying a combination of a dominance rule and a multi-criteria filtering method. The performance of the proposed Pareto-based approach is compared to two aggregation approaches: weighted-sum and the lexicographic techniques. The result shows that a Pareto-based approach is providing better solutions and allowing more flexibility to the decision-maker.     

中英化学教材“化学反应速率”内容比较研究

“化学反应速率”综合体现了微粒观、实验观及科学本质观等化学基本观念,是提高学生科学素养的重要载体。从内容选取、内容编排与内容呈现3个方面对英国索尔特高级化学课程教材与国内化学教材中“化学反应速率”相关内容的编写进行比较,并简要阐述几点对化学教材编写和化学教学的启示。     

国外同业拆借利率期限结构影响因素的实证分析——以美元LIBOR为例

通过选择反映经济的基本面和具体市场的资金面的变量建立不带移动平均项的自回归分布滞后模型,研究美元LIBOR期限结构影响因素,得到以下结论：从长期来看,通货膨胀率、联邦基金利率、道琼斯工业指数和广义货币的增长率都对LIBOR利率的水平值和斜率有影响．另外,水平值还受到三年期国债收益率的影响．从短期来看,影响水平值的因素有通货膨胀率和联邦基金利率,而三年期国债收益率是影响斜率的唯一短期因素．     

私募基金管理者的收益定价、风险选择与契约设计

考虑到市场非完备和私募基金管理者风险厌恶的实际情形,本文根据效用无差别原理,得到基金管理者收益的确定性等价价值满足的偏微分方程,并运用有限差分法进行数值分析.结果表明:非系统风险溢价的增大使得收益价值与自有资金率呈递增但呈边际递减规律;管理者的风险选择决定于非系统风险和风险厌恶态度,在契约有限期的情形下,风险中性型管理者会选择无限大的基金波动率,风险厌恶程度低(高)的管理者会选择尽可能大(小)的基金波动率;并从确定性等价的角度讨论了契约设计问题.     

英国索尔特高级化学课程(A2)教材配套复习材料Revise中有机化学知识的呈现特点与思考

针对与英国索尔特高级化学课程(A2)相匹配的复习材料Revise中有机化学内容的基本呈现方式、知识点的考查及习题设置特点进行相关分析,并对我国中学化学教材编写及其化学教学提出几点思考和启示。     

化学类在线开放课程的认识与思考

继精品课程、精品开放课程之后,在线开放课程将成为下阶段高校课程建设的主要形式。化学类在线开放课程为进一步提高化学类专业课程的教学水平和学习质量提供了一条可行的途径。然而,要建设好一门在线开放课程,不但需要对其有正确的认识,还要在课程设计和机制建设方面多做工作,如此才能保证其健康、持续发展。     

融合现代科技理论和方法，优化高等数学课程体系

科学技术在不段发展，而高等数学的课程体系却一成不变，造成了数学教学的相对落后．本文分析了高等数学课程现状，介绍了本校在高等数学课程体系优化过程中融合现代科技理论和方法的实践．以适应现代教育的需求和发展．     

钙矾石吸附水的模型及等温式

钙矾石３ＣａＯ·Ａｌ２Ｏ３·３ＣａＳＯ４·３２Ｈ２Ｏ是水泥熟料水化的重要产物．它易被空气中的ＣＯ２ 分解,常温下的分解反应为３ＣａＯ·Ａｌ２Ｏ３·３ＣａＳＯ４·３２Ｈ２Ｏ ３ＣＯ２ →３ＣａＣＯ３ Ａｌ２Ｏ３·ｘＨ２Ｏ ３（ＣａＳＯ４·２Ｈ２Ｏ） （２６ -ｘ）Ｈ２Ｏ分解机理［１ ,２］是：Ｈ２Ｏ先吸附在钙矾石表面的活性中心上,吸附态水再吸收ＣＯ２ 成为Ｈ２ＣＯ３ ,然后碳酸与钙矾石反应,实现碳化（即分解）．其分解速率［３］为ｖ＝ｋｐｃｏ２ ｐＨ２ｏ（１）可见水的吸附是钙矾石碳化分解的关键步骤,因此探讨…     

高中课程设置问题和教育改革

本文用聚类分析和因子分析对高中课程设置进行归类和结构分析，得知属于自然科学类的生、地、数、理化关系密切，而属于社会科学类的政、语、英、史关系比较松散。史、地两科实际上是两门很不相同的学科。高中十门课程培养高中生的理科能力、文科能力和体能因子。在统计分析的基础上就以下一些问题提出一些建设性的意见：高中课程设置要适应高考制度的全面改革；高中课程设置要体现德育和体育的作用；高中课程设置既要满足升学需要，也要考虑就业需要。