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基于复杂昂贵仿真的体系效能多目标优化林圣琳1,李伟1,钱晓超2,马萍1,杨明11. 哈尔滨工业大学控制与仿真中心2. 上海机电工程研究所摘 要:效能优化是实现体系结构设计,多方案配置等工作的重要途径.体系仿真系统通常具有组成结构复杂,连续离散混合,输入输出变量多,运行开销大等特点,导致效能优化面临多目标,混合变量,多峰值,低效率等问题,提出一种基于复杂昂贵仿真的体系效能优化算法.针对昂贵仿真问题,提出基于聚类与空间填充准则相结合的开发-探索序贯元模型策略;引入混合编码策略和相应遗传算子改进传统的NSGA-II (nondominated sorting genetic algorithm II)算法,提高多目标优化效率.与目前较流行的3种昂贵优化算法的对比分析表明,所提算法得到的优化结果具有较好的收敛......
optimization problems, a differential evolution algorithm with mapping (MDE) is presented. By mapping the sorting variables to random coefficient range [0,1], the constrained problems can be turned... that the algorithm is very effective to solve such sorting problems. 2 Constrained optimization problem Suppose a simplified model: s.t. xmin≤x1≤x2≤…≤xn≤xmax xj-xi≥?x, for j≥i  ......
form as well as two feeding forms under fast floating unit. The results show that all the forms could meet the basic requirements of flotation column for sorting materials, in spite of the difference... of feeding segment and the axial velocity of the column sorting segment are mainly concentrated in the range of 0-0.05 m2/s2 and -0.15-0.15 m/s, respectively. In addition, axial velocity distributed......
from a recycling plant in which mixed demolition wastes were processed by mechanical crushing,sieving and sorting operations.Two series of rendering mortar mixes were prepared with a constant water......
technological processes for the reuse and recycling of LIBs are introduced. These technologies include discharge, sorting, crushing, binder removal, physical separation, and pyrometallurgical......
Combining artificial neural network and multi-objective optimization toreduce a heavy-duty diesel engine emissions and fuel consumptionAmir-Hasan Kakaee, Pourya Rahnama, Amin Paykani, Behrooz Mashadi(School of Automotive Engineering, Iran University of Science and Technology Tehran, Iran)Abstract:Nondominated sorting genetic algorithm II (NSGA-II) is well known for engine optimization problem......
bubble time, and pressure of the circulating pump during the sorting process were investigated and optimized to improve the flotation efficiency. On the basis of these parameters, continuous separation......
sorting genetic algorithm (NSGA-II) and 6-sigma design method. With the steering road feel and the steering portability as optimization targets, the system parameters are optimized by the proposed......
improvements: dynamic nonlinear self-adaptive teaching factor, extracurricular tutorship factor, dynamic self-adaptive learning factor, multi-way learning factor, and non-dominated sorting factor. WebGIS teaching performance is fully evaluated based on questionnaires and DSATLBO. Optimal weights and weighted scores from DSATLBO are compared with those from the non-dominated sorting genetic algorithm......
.随着磁场强度的增加,磁性颗粒受到的磁力作用增强,更多的磁性颗粒被捕收而进入精矿槽,铁的回收率提高;同时,磁力增强也使得磁团聚作用加剧,脉石颗粒和低品位连生体被夹带到磁精矿中的概率大大增加,导致精矿品位降低. 表3 无风条件下磁场强度对分选指标的影响 Table 3 Effect of magnetic field strength on sorting...佳分选条件. 图6 分选效率随筒面风速变化曲线 Fig. 6 Sorting efficiency as function of drum surface wind speed 2.3 滚筒转速对分选性能的影响 在筒面最高磁场强度为1250×10-4 T,风速0.64 m/s的条件下,调节滚筒转速为30,45,60,75 r/min分别进行实验,得到结果如图7......