Interactive Evolutionary Multi-Objective Optimization Algorithm Using Cone Dominance

As the number of objectives increases, the performance of the Pareto dominance-based Evolutionary Multi-objective Optimization (EMO) algorithms such as NSGA-II, SPEA2 severely deteriorates due to the drastic increase in the Pareto-incomparable solutions. We propose a sorting method which classifies these incomparable solutions into several ordered classes by using the decision maker's (DM) preference information. This is accomplished by designing an interactive evolutionary algorithm and constructing convex cones. This method allows the DMs to drive the search process toward a preferred region of the Pareto optimal front. The performance of the proposed algorithm is assessed for two, three, and four-objective knapsack problems. The results demonstrate the algorithm's ability to converge to the most preferred point. The evaluation and comparison of the results indicate that the proposed approach gives better solutions than that of NSGA-II. In addition, the approach is more efficient compared to NSGA-II in terms of the number of generations required to reach the preferred point.     

Effect of Cultural Conditions on Chitinase Production from Biocontrol Bacterium Against Aflatoxin

Chitinase is one of the most important mycolytic enzymes with industrial significance. Statistical methods are employed to optimize cultural conditions with the increased production of chitinase for th...     

Hydraulic Self Servo Swing Cylinder Structure Optimization and Dynamic Characteristics Analysis Based on Genetic Algorithm

The dynamic characteristics of hydraulic self servo swing cylinder were analyzed according to the hydraulic system natural frequency formula. Based on that, a method of the hydraulic self servo swing cylinder structure optimization based on genetic algorithm was proposed in this paper. By analyzing the four parameters that affect the dynamic characteristics, we had to optimize the structure to obtain as larger the Dm(displacement) as possible under the condition with the purpose of improving the dynamic characteristics of hydraulic self servo swing cylinder. So three state equations were established in this paper. The paper analyzed the effect of the four parameters in hydraulic self servo swing cylinder natural frequency equation and used the genetic algorithm to obtain the optimal solution of structure parameters. The model was simulated by substituting the parameters and initial value to the simulink model. Simulation results show that: using self servo hydraulic swing cylinder natural frequency equation to study its dynamic response characteristics is very effective. Compared with no optimization, the overall system dynamic response speed is significantly improved.     

基于链路覆盖的无线Mesh网络入侵检测方法

针对传统入侵检测方法不适用于资源受限的无线Mesh网络( WMN)的问题,提出一种基于链路覆盖的分布式入侵检测( LCDID)方法。该方法将WMN中所有节点纳入到入侵检测中,节点根据自身内存阈值加载入侵检测系统功能模块,并采用协调优化机制优化节点对功能模块加载,每条通信链路可由多个节点覆盖检测。仿真实验结果表明,LCDID方法对不同规模的网络具有较好的适应性和可扩展性;与现有检测方法相比,该方法具有更高的内存利用率和入侵检测率。     

基于DSP的开关电源系统优化设计

针对开关电源系统中普遍存在损耗高、谐波含量大、体积大等问题,提出一种基于DSP控制的低损耗、低谐波、高功率因数开关电源优化设计系统。系统采用基于DSP生成的PWM波控制开关通断,主电路采用移相全桥零电压软开关技术,由改进的EMI滤波电路进行滤波,并应用平均电流控制方法控制Boost-PFC。整个设计对EMI滤波、功率因数校正、零电压开关等电路进行优化,通过仿真和实验结果表明,该设计具有损耗低、谐波含量低、体积小且输出电压稳定、控制电路简单、变压器制作难度得以简化、可靠性高等优点。     

电力系统无功优化算法研究综述(下)

综述了电力系统无功优化的相关概念、研究的关键问题和经典模型。系统地阐述了优化算法中的常规算法、智能算法及其改进算法在电力系统无功优化中的应用情况及存在问题,并对各种优化算法的优缺点进行了分析比较。针对各种优化算法的不同特征,提出了综合各单一算法优点的混合算法以求解无功优化问题。总结了近年来其它新型算法的无功优化应用情况。最后指出了随着智能电网的发展,电力系统无功优化算法当前存在的问题及有待于深入研究的几个方面。实现无功优化的实时计算将是今后无功优化算法问题新的研究方向。     

人工鱼群算法在无功优化中的应用

人工鱼群算法总结出了鱼群的行为所具有的基本特点,并结合动物自治理论,提出了一种新型优化模型。通过鱼的觅食行为、群聚行为、追尾行为、随机行为这4种行为对人工鱼的活动属性进行了描述。通过建立无功优化的数学模型,并将人工鱼群算法应用在配电网的动态无功优化过程中,通过IEEE-30标准节点系统进行仿真,验证了该算法的稳定性和可靠性。     

优化鼓冷工艺稳定焦炉炭化室压力

通过优化鼓风冷凝单元的工艺和操作等措施,稳定初冷器前煤气吸力和改善循环氨水质量等手段,保证7.63m焦炉炭化室PROven压力调节系统的正常运行,确保在结焦全过程炭化室内的压力基本保持恒定。     

粗纱工艺参数的优化配置研究

对粗纱工序影响成纱质量的工艺参数进行了全方位的分析,发现影响粗纱成纱质量的工艺参数主要有锭翼速度、前区隔距、主牵伸区隔距、后区隔距、后区牵伸倍数、上下销钳口隔距和捻系数等.针对这些工艺参数在粗纱机上进行正交试验,纺制普梳纯棉18.2 tex纱线,对产生的数据进行极差和方差分析,优选出能够获得最佳粗纱成纱质量的工艺参数.对得到的工艺参数上机试验并纺制成细纱测试其质量,其成纱质量数值在乌斯特2007年公报5%水平以内,说明优选的工艺参数可以应用于生产实践,对生产企业探索其他品种的工艺参数配置具有理论和实践指导意义.     

避免MCVC结构拓扑优化模型出现机构的方法

为了避免带体积约束的柔顺度最小化(minimum compliance with a volume constraint,MCVC)模型出现机构,借助带位移约束的重量最小化(minimum weight with a displacement constraint,MWDC)模型,寻找MCVC模型中安全可靠的物理的或者结构性能的参数阈值.99行程序和120行程序分别被用来求解MCVC和MWDC模型.通过对大量出现机构的病态算例进行研究分析发现,当迭代过程中的最大应变能比小于某个阈值时,或者当体积比大于某个阈值时,就可避免机构出现.然而,这2个阈值是依赖于问题的,即对于不同的结构与/或载荷工况,这2个阈值均会取不同的值.在本文测试的算例中,最大应变能比阈值的范围为4.59~12.38,体积比阈值的范围为0.15~0.26.