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A design strategy of achievable linear optics for a complex storage ring lattice 被引量:2
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作者 田顺强 《Chinese Physics C》 SCIE CAS CSCD 2010年第7期1009-1015,共7页
A design strategy is discussed in this paper,and it provides much convenience for effectively exploring achievable linear optics and globally investigating the flexibility of a complex lattice with super-periodicity.A... A design strategy is discussed in this paper,and it provides much convenience for effectively exploring achievable linear optics and globally investigating the flexibility of a complex lattice with super-periodicity.A matching method of fractional steps,which means separately finding the standard cell setting and the matching cell setting,is adopted to simplify the complexity of the linear beam optics design in the complex lattice.The multi-objective genetic algorithm is used to find most of all the stable linear optics,and reach a target solution after multi-generational propagation,both in the standard cell and the matching cell.A fitting algorithm with gradient information is used to restore the periodicity and symmetry of the lattice,and finely adjust the linear optics for further optimization.This design strategy is applied in the Shanghai Synchrotron Radiation Facility(SSRF) storage ring,and the results are presented. 展开更多
关键词 storage ring linear optics low-αc multbobjective genetic algorithm
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基于小生境遗传算法的混合动力汽车参数优化 被引量:3
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作者 连志伟 邓亚东 颜超 《武汉理工大学学报》 CAS CSCD 北大核心 2009年第5期102-105,共4页
作为典型的多目标优化问题,混合动力汽车参数优化必须处理燃油经济性和排放之间的非线性和相互冲突关系。以一辆实例样车的动力系统和逻辑门限值控制策略为例,采用小生境遗传算法,将其做离线参数优化。仿真结果表明,该方法可以找到多组P... 作为典型的多目标优化问题,混合动力汽车参数优化必须处理燃油经济性和排放之间的非线性和相互冲突关系。以一辆实例样车的动力系统和逻辑门限值控制策略为例,采用小生境遗传算法,将其做离线参数优化。仿真结果表明,该方法可以找到多组Pareto最优解,在满足车辆特定性能的前提下,显著地改善车辆燃油经济性和排放。 展开更多
关键词 混合动力汽车 多目标优化 小生境遗传算法 PARETO最优解
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