查询词典 IPSO

A nomination as an alternate Director shall ipso facto be revoked if the appointer ceases for any reason to be a Director.

如指定人因故不再是董事，其代理董事的提名应依据事实被撤销。

An alternate Director may be removed by his appointer and (subject to the approval of the Director) may appoint another in his place, An alternate Director may be removed from office by a resolution and he shall be entitled to vote on such resolution and he shall ipso facto ,cease to be alternate Director if his appointer ceases for any reason to be a Director .

副主任可能会删除他appointer和可委任另一在自己的位置，副处长被免职的一项决议，他应有权投票这样的决议，他应事实上，停止候补主任appointer如果他不再以任何理由将一名主任。

An alternate Director shall ipso facto cease to be an alternate Director if his appointor ceases for any reason to be a Director: provided that if a Director retires and is re-elected by the meeting at which such retirement took effect, any appointment made by him pursuant to this Article which was in force immediately prior to his retirement shall continue to operate after his re-election as if he had not so retired.

候补董事应根据事实不再是候补董事如以任何理由停止他的委任人被导演：并规定，如果是一名退休主任连选连任的会议，这些退休生效、他所作的任何任命是根据本条生效之前，他将继续退休操作连任后，他没有这么退役。

An alternate Director shall ipso facto cease to be an alternate Director if his appointor ceases for any reason to be a Director, however, such alternate Director or any other person may be reappointed by the Directors to serve as an alternate Director PROVIDED always that, if at any meeting any Director retires but is reelected at the same meeting, any appointment of such alternate Director pursuant to these Articles which was in force immediately before his retirement shall remain in force as though he had not retired.

如果该代理董事的指定者出于某种理由停止指定代理董事，则任一代理董事将不再是代理董事，然而，该代理董事或其他人士可被董事再次指定，该再次指定的目的是充当代理董事。在任何会议上任何董事退休但在同一会议上被重新选举，在董事退休前，依据相关条款对代理董事的任一任命将立即生效并在该董事未退休的时间内将一直保持效力。

At the early iteratives, the mutation rate is bigger and the aim is to make particles to explore smaller and isolate region and to avoid the algorithm trapping to the local optimum. While the algorithm runs, the mutation rate will be decreased to reduce the disturbing to the particles. IPSO adopts a new method that congregates some neighboring individuals to form multiple sub-populations in order to lead particles to explore new search space. Additionally, our algorithm incorporates a mechanism with a simple and easy penalty function based on the largest distance between the particle and the boundary of the feasible region to handle constraint.

IPSO采用了一种新型的变异策略，变异概率随着算法的运行是动态变化的：在算法运行初期，变异概率大，其目的是使算法不但能够探测到目标空间中的孤立区域，而且避免搜索陷入局部极值；在算法运行后期，变异概率逐渐变小，以减少对粒子的扰动；算法通过将部分具有邻近距离的粒子聚集成核形成多子群引导种群中粒子的飞行；采用一个简单的基于粒子与可行域边界最远距离的罚函数处理约束的机制，使得算法高效实现。

Communicate with internal plant for the improvement of IPSO products.

和内部供应商合作共同提高IPSO产品的质量。

The experiment result shows that the IPSO algorithm can not only obviously save the running time,but also improve the quality of image segmentation.

实验结果表明，对于灰度分布较复杂的图像，改进的IPSO算法不仅降低了运算开销，而且获得了满意的图像分割效果。

The experimental results show that JSP Can be solved by IPSO effectively.The rationality of IPSO is validated.

通过大量实验仿真，算法可以有效求解作业车间调度问题，验证了算法的合理性。

DIPSO incorporates the dynamic mutation, multi-subpopulations methods of IPSO, and changes the heights and the positions of the peaks by variable parameters and chaotic model. This algorithm uses multi-subpopulations to search for the highest peak in order to track the dynamic environments. Furthermore, DIPSO apperceives the changes of the environment by tracking the fitness value of the global optimal particle.

该算法是IPSO的动态版本，沿用了IPSO的动态变异策略、多子种群策略，在算法运行的过程中分别对环境进行参数设定型动态变化和混沌模型动态变化，利用多子种群分别对多个峰进行搜索，很好地实现了算法的追踪性能；对全局最优粒子进行实时跟踪，利用其适应度值的变化来发现环境的改变，并以此来引导群体对环境变化的感应。

This paper proposes an Improved Particle Swarm Optimization algorithm.IPSO adopts a new mutation operator and a new method that congregates some neighboring individuals to form multiple sub-populations in order to lead particles to explore new search space.Additionally,this algorithm incorporates a mechanism with a simple and easy penalty function to handle constraint.Thus,this algorithm has strong global exploratory capability and efficiency while being applied to solve nonlinear constrained optimization problems.

提出了一种改进的粒子群算法（Improved Particle Swarm Optimization，IPSO），使用了一种新型的变异策略，并在搜索过程中将部分邻近的个体聚集成核，从而形成多子群引导粒子探测新的搜索区域，采用了简单易行的罚函数约束处理机制，使算法在求解较难的非线性约束优化问题时具有很强的全局搜索能力与效率。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。