1) optimum combination of blades
桨叶优化组合
1.
Study on optimum combination of blades of five-blade controllable-pitch propeller and static balancing methods of the whole propeller;
五叶调距桨的桨叶优化组合及整桨静平衡方法研究
2) built-up blade
组合式桨叶
3) combined-blades agitator
叶片组合式桨
1.
The results showed that the power consumption of combined-blades agitator was the lowest.
在直径为240mm的搅拌釜内 ,考察了最大叶片式桨、泛能式桨和叶片组合式桨的功率消耗、传热及混合特性 ,并与螺带桨及三叶后掠式桨进行了比较。
4) optimal combination
优化组合
1.
Characteristics and optimal combination of pulping technology and equipment in bleached chemimechamical pulp;
漂白化机浆制浆工艺与装备的特点及优化组合
2.
Research on weight optimal combination particle filter algorithm
权值优化组合粒子滤波算法研究
3.
Through further optimal combination of refining and screening equipment, the equipment investment and power consumption can be lowered and the flexibility of pulp adjustment can be increased under the precondit.
通过进一步优化组合磨浆、筛选设备,在保证成浆质量的前提下,降低设备投资和动力消耗,增加浆种调节的灵活性。
5) combinational optimization
组合优化
1.
A kind of quantum genetic algorithm with operation-based encoding and decoding is proposed for solving Job-Shop scheduling problem,a typical NP-hard combinational optimization problem.
提出了一种基于操作方式进行编码和解码的量子遗传算法,并将其用于求解一种典型的NP-hard组合优化问题即Job-Shop调度问题。
2.
In this paper,the problem of the load restoration was studied and it was modeled as a combinational optimization problem with many constraints.
将该问题建模为一个多约束条件的组合优化问题,根据遗传算法特别适合求解大规模组合优化问题的特点,设计了一种粗粒度并行遗传算法来对此优化问题进行求解。
3.
Taking the cabin dimensions,allowed weight and cargo loading rules as constraints,setting the usage of cubage and loading efficiency as objectives,a hybrid genetic algorithm was constructed to solve this typical multi-constraint and multi-objective combinational optimization problem: heuristics were used to determine the layout of cargos in a.
通过对生产实际中散装货船的多品种、大批量货物的配载问题的分析,总结了散装船舶配载问题的特点和钢铁产品的货物堆装规则;以船舶舱容限制、允许重量和货物堆装规则为约束条件,以提高仓容利用率和装载效率为优化目标,构造了一种混合遗传算法来解决此类多目标、多约束的组合优化问题,即①用启发式算法确定各舱货物的具体摆放方式,满足货物装载质量要求,②遗传算法调用启发式算法,计算配载指标,来确定货物在各舱的分布,以满足各舱的仓容限制,提高仓容利用率和装载效率。
6) combination optimization
组合优化
1.
The problem of satellite data transmission tasks scheduling is a very complex combination optimization problem,that is the problem of how to allocate the ground stations resources and their service time in order to satisfy tasks requests farthest.
卫星数传任务调度问题是一个非常复杂的组合优化问题,即如何合理为每个任务分配地面站资源及其服务时间以最大限度满足任务需求的问题。
2.
Because the vehicle scheduling problem restrained by time windows is a typical NP hard problem,it has been an open problems and the front of operations research and combination optimization.
有时间窗的车辆调度问题是一个典型的NP难题 ,一直成为运筹学与组合优化领域的前沿与研究热点问题 ,但传统的方法往往不能令人满意 ,利用遗传算法解决单车场单车型有时间窗约束的非满载车辆调度问题 ,构造了有创新性的染色体结构 ,并在遗传算法的迭代过程中与启发式算法交叉应用 ,现实应用中获得了很好的效
3.
A new combination optimization problem caned China Travelling Salesman Problem (C-TSP) is proposed in this paper.
该文提出了一个新的组合优化问题：中国旅行商问题（Ｃ─ＴＳＰ），讨论了用神经网络的原理和方法解决它，提出了智能化的优化方法。
补充资料：优化劳动组合
优化劳动组合
优化劳动组合中国企业在改革劳动人事制度和推行承包经营责任制中出现的一种企业内部劳动组织制度改革。其基本点是:根据承包经营或生产经营需要，在精简机构和确定先进的编制定员的基础上，改变原来的劳动组织形式和人事安排，实行从干部到工人双向选择(干部选择工人，工人选择干部)，自愿结合，层层组阁，择优上岗。未被组合上的人员，被分流出去，从事其他生产工作或服务工作。优化劳动组合不是一成不变的，随着生产发展、技术进步和干部、工人素质的变化，要不断地进行优化劳动组合。实行优化劳动组合，一是为企业引入了竞争机制，使职工有了危机感、紧迫感，鞭策职工积极向上，努力学习文化技术，努力工作;二是推动企业精简机构、精减岗位富余人员，从而提高劳动效率，节省开支，降低成本;三是为深入进行干部制度、劳动制度以及工资制度改革奠定了基础。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条