A new constraint handling method based on the modified Alopex-based evolutionary algorithm

In this paper, a new constraint handling method based on a modified AEA (Alopex-based evolutionary algorithm) is proposed. Combined with a new proposed ranking and selecting strategy, the algorithm gradually converges to a feasible region from a relatively feasible region. By introduction of an adaptive relaxation parameter μ, the algorithm fully takes into account different functions corresponding to different sizes of feasible region. In addition, an adaptive penalty function method is employed, which adaptively adjust the penalty coefficient so as to guarantee a moderate penalty. By solving 11 benchmark test functions and two engineering problems, experiment results indicate that the proposed method is reliable and efficient for solving constrained optimization problems. Also, it has great potential in handling many engineering problems with constraints, even with equations.     

Steady-state target optimization designs for integrating real-time optimization and model predictive control

In industrial practice, the optimal steady-state operation of continuous-time processes is typically addressed by a control hierarchy involving various layers. Therein, the real-time optimization (RTO) layer computes the optimal operating point based on a nonlinear steady-state model of the plant. The optimal point is implemented by means of the model predictive control (MPC) layer, which typically uses a linear dynamical model of the plant. The MPC layer usually includes two stages: a steady-state target optimization (SSTO) followed by the MPC dynamic regulator. In this work, we consider the integration of RTO with MPC in the presence of plant-model mismatch and constraints, by focusing on the design of the SSTO problem. Three different quadratic program (QP) designs are considered: (i) the standard design that finds steady-state targets that are as close as possible to the RTO setpoints; (ii) a novel optimizing control design that tracks the active constraints and the optimal inputs for the remaining degrees of freedom; and (iii) an improved QP approximation design were the SSTO problem approximates the RTO problem. The main advantage of the strategies (ii) and (iii) is in the improved optimality of the stationary operating points reached by the SSTO-MPC control system. The performance of the different SSTO designs is illustrated in simulation for several case studies.     

细鳞片石墨化学氧化法制备可膨胀石墨技术问题探讨

采用分步氧化法制备了80目细鳞片可膨胀石墨。通过L9（3^4）正交试验确定了最佳工艺条件。在液固比-5：1，C：KMnO4=1：0．12，Ⅰ H2SO4：Ⅱ H2SO4=4：1，H2SO4：H2O2=12：1（均为质量比g／g）条件下获得膨胀容积为290mL／g。对制备过程中液固比、硫酸浓度、双氧水的加入方式、可膨胀石墨烘手温度、原料粒度等因素对膨胀容积的影响以及可膨胀石墨的稳定性的改善方法进行了探讨。     

Mapping streaming applications on multiprocessors with time-division-multiplexed network-on-chip

This paper addresses mapping of streaming applications (such as MPEG) on multiprocessor platforms with time-division-multiplexed network-on-chip. In particular, we solve processor selection, path selection and router configuration problems. Given the complexity of these problems, state of the art approaches in this area largely rely on greedy heuristics, which do not guarantee optimality. Our approach is based on a constraint programming formulation that merges a number of steps, usually tackled in sequence in classic approaches. Thus, our method has the potential of finding optimal solutions with respect to resource usage under throughput constraints. The experimental evaluation presented in here shows that our approach is capable of exploring a range of solutions while giving the designer the opportunity to emphasize the importance of various design metrics.     

离子膜电解盐水工序常见问题简析

介绍了太化股份有限公司氯碱分公司盐水工序的主要设备和流程，对该厂离子膜电解盐水工序运行几年来出现的几个典型问题进行了分析，并对此提出了应该注意的事项。     

对我国硫酸钾生产发展的看法

本文论述了目前我国硫酸钾的生产、消费状况以及存在的问题，提出了对硫酸钾生产发展的一些看法。     

高职网络技术专业毕业生就业满意度调查分析

对高职网络技术专业125名毕业生就业满意度跟踪调查,从就业情况、首次就业成功因素、专业课程内容设置、专业教师教学水平、专业教学管理、专业技能重要性、运用专业技能熟练程度、对职业资格证书的意见等九个方面进行分析,为教学改革提供依据。研究大学生就业能力结构及其对就业结果的影响,对调整课程设置与教学内容,构建以能力为核心的课程体系具有重要意义。     

基于LTE下行多业务传输QoS保证的跨层调度算法

众多资源分配的调度算法中, 有区别地实现不同业务QoS要求的调度策略研究不多。针对此问题, 通过将不同QoS等级和要求加入到调度策略的影响因素中, 提出了一种适用于LTE下行多业务传输的多目标跨层分组调度算法, 并设计了一个用户满意度函数, 用来评价分组调度算法的综合性能。对该算法性能进行了仿真验证, 并同PF算法仿真结果进行比较与分析, 表明该算法能够满足不同业务的QoS要求, 综合性能优于PF算法。