一类基于人工免疫系统与极值优化的混合算法求解流水作业调度问题

The permutation flowshop scheduling problem (PFSP) is one of the most well-known and well-studied production scheduling problems with strong industrial background. This paper presents a new hybrid optimization algorithm which combines the strong global search ability of artificial immune system (AIS) with a strong local search ability of extremal optimization (EO) algorithm. The proposed algorithm is applied to a set of benchmark problems with a makespan criterion. Performance of the algorithm is evaluated. Comparison results indicate that this new method is an effective and competitive approach to the PFSP.     

控制工程领域工程硕士专业学位标准的制订与实施建议

对国外教育标准制订的情况进行了调查和研究,分析了制订学位标准的重要意义,并针对工程硕士特点和控制工程的领域特征,阐述了控制工程领域工程硕士专业学位标准制订过程中所遵循的基本原则,给出了基本框架,并对标准的实施提出了建议.     

基于MPPT算法的风光互补发电实验系统的研究与实现

从电力电子、自动控制和优化算法3个角度,采用开放式架构,设计基于MPPT控制技术的风光互补发电的实验系统。在该系统中,采用模拟的风光能源展示风光发电的特性;利用升降压组合电路及多种控制优化算法,测试、比较不同工况条件下的最大功率跟踪(MPPT)控制策略。同时完善了风光互补控制的保护措施,对蓄电池充电控制方案分段优化,采用良好的人机交互界面,实现了风光互补发电实验系统多功能和智能化。     

Genetic programming-based chaotic time series modeling

INTRODUCTION Chaos is based on the principle that simpledeterministic laws can exhibit complex externalbehavior (Hegger and Kantz, 2000); although it isquite difficult to reveal such simple laws from thesystem’s external behavior only. This is mainly dueto the dissipation and sensitivity to initial condi-tions (SIC) properties of the chaotic systems (Weiet al., 2002). Linear system theory has developedfor many years, but has proved to be incapable ofsufficiently modeling the chaot…     

宝钢汽车零部件精益协同链信息系统设计

在简要分析ERP系统和协同商务模式的基础上,提出了LCCS系统的设计方案,构建起宝钢汽车零部件公司的供应链管理信息系统。该系统在实践中有利于减少库存及提升供应链响应效率,从而为精益运营提供了信息化基础。     

Optimal bandwidth scheduling of networked control systems （NCSs） in accordance with jitter

INTRODUCTION Compared with point-to-point control, the major advantages of networked control (NC) include flexi-bility of operation, integrated diagnostics, quick and easy maintenance and monitoring, small wiring volume, low cost. There are also many disadvantages due to the limited bandwidth resources shared by all nodes. Two major consequences are the net-work-induced delay and the jitter, the transmission fluctuations of successive instances of a data, both of which can degrade the dy…     

Genetic programming-based chaotic time series modeling

This paper proposes a Genetic Programming-Based Modeling(GPM)algorithm on chaotic time series. GP is used here to search for appropriate model structures in function space,and the Particle Swarm Optimization(PSO)algorithm is used for Nonlinear Parameter Estimation(NPE)of dynamic model structures. In addition,GPM integrates the results of Nonlinear Time Series Analysis(NTSA)to adjust the parameters and takes them as the criteria of established models.Experiments showed the effectiveness of such improvements on chaotic time series modeling.