基于MATLAB的机械优化设计

通过实例详细介绍了MATLAB优化工具箱在机械优化设计中的应用，并与其它文献的结果进行比较，表明本算法较优。     

An optimization approach to business buyer choice sets: How many suppliers should be included?

In many new or repeat purchasing situations, business buyers must decide how many suppliers to consider (a “choice set”) in determining which supplier(s) to actually buy from or contract with. This paper develops an optimization approach to determining the size of the choice set, taking into consideration buyer utility and search and evaluation costs. A theoretical model is developed for both one-time and repeat purchase situations. The model is estimated using empirical data received from bids received for procurement auctions. In these auctions, suppliers provide bids for steel pipe based on two product attributes (price and delivery time). Model sensitivity to small changes in parameters is also tested.     

高校经济管理实验中心实验室开放项目优化研究——以嘉兴学院为例

以嘉兴学院经济管理实验中心为研究对象，利用经济管理实验中心统计数据和问卷调查数据，在分析经济管理实验中心实验室开放项目现状、项目优化的必要性和可行性的基础上，提出了实验室开放项目优化的方案及其措施：调整和优化实验室开放项目比例、丰富和优化实验室开放项目内容、合理安排和调配实验室开放时间的优化实验室条件与环境。     

江苏网络经济发展现状及对策研究

网络经济在国民经济中正扮演着越来越重要的角色,是我国经济发展新的增长点。江苏省是我国网络经济和电子商务应用较为发达的地区之一,研究江苏网络经济的发展对于江苏乃至全国的网络经济发展都具有重要意义。通过调查江苏省网络经济的发展现状,分析存在的问题,提出了相关改进措施和优化建议,以推动江苏省网络经济更加健康、良好的发展。     

考虑换乘费用的城市公共交通票价优化

换乘所产生的附加费用,如时间和票价等,导致配流影响因素产生变化,如果沿用传统方式将降低预测精度和可靠性。通过引入换乘次数和方式等因子计算出行等待、乘车、换乘及风险评估预留时间等,定义广义出行费用与计算方法;建立双层规划模型求解最优票价,最后通过算例分析弹性出行需求、换乘费用、票价之间的关系。计算结果表明,换乘费用对出行需求的影响小于票价优化对出行需求的影响,优化票价随换乘费用增加而加速降低,为公共交通票价优化提供研究依据。     

粒子群算法惯性算子凹凸性分析

粒子群算法的惯性因子是算法中的一个重要的参数,目前的研究结果表明,惯性因子为减函数时算法的运行效果更为良好。文中提供了四种减函数作为惯性因子可以使用的算子,它们的凹凸性各有不同。对四个算例的数值仿真结果表明,表现最好的是惯性因子先上凸后下凸的PSO,惯性因子为下凸函数的PSO综合表现优于惯性因子为上凸函数的情况。     

西安市耕地后备资源调查评价方法与指标优化

通过对耕地后备资源调查评价方法和指标体系进行优化,达到在查清耕地后备资源数量的基础上进一步掌握其可开发利用程度的目的,促进耕地后备资源调查评价成果更加有效地应用于土地整治工作,提高成果的实用性。     

Structured deplaning via simulation and optimization

Deplaning naturally occurs row by row down the length of an aircraft. Using simulation and optimization, we design deplaning strategies (e.g., deplane by group and/or column) that significantly reduce the overall unstructured deplaning time. The evaluations derived from a combination of optimization and simulation were tested across several equipment types using data gathered through field observations for calibration.     

A Generalized Nash Equilibrium network model for post-disaster humanitarian relief

We develop a Generalized Nash Equilibrium network model for post-disaster humanitarian relief by nongovernmental organizations (NGOs). NGOs derive utility from providing relief supplies to victims of the disaster at demand points in a supply chain context while competing with each other for financial funds provided by donations. The shared constraints consist of lower and upper bounds for demand for relief items at the demand points to reduce materiel convergence or congestion. This game theory problem is reformulated as an optimization problem and numerical examples and a theoretical case study on Hurricane Katrina given.     

Optimizing station location and fleet composition for a high-speed rail line

This paper proposes a new strategic planning model for high-speed rail ventures. It is a mixed-integer optimization model that applies to a given line and focuses on two key strategic decisions: station location and fleet composition. Our purpose is to improve on previous station location models by including fleet composition decisions. In the new model, we additionally take into account in an approximate fashion the interrelationships between strategic and subsequent tactical decisions, regarding line planning, train scheduling and fleet assignment issues. The usefulness of the model is demonstrated for a case study involving a planned Lisbon-Oporto high-speed rail line.