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Hybrid artificial bee colony algorithm with variable neighborhood search and memory mechanism

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Journal of Systems Engineering and Electronics 2018年第2期29卷 405-414页

作者： fan chengli FU Qiang LONG Guangzheng XING Qinghua Air and Missile Defense College Air Force Engineering University

Artificial bee colony(ABC) is one of the most popular swarm intelligence optimization algorithms which have been widely used in numerical optimization and engineering applications. However, there are still deficiencies in ABC regarding its local search ability and global search efficiency. Aiming at these deficiencies,an ABC variant named hybrid ABC(HABC) algorithm is ***, the variable neighborhood search factor is added to the solution search equation, which can enhance the local search ability and increase the population diversity. Secondly, inspired by the neuroscience investigation of real honeybees, the memory mechanism is put forward, which assumes the artificial bees can remember their past successful experiences and further guide the subsequent foraging behavior. The proposed memory mechanism is used to improve the global search efficiency. Finally, the results of comparison on a set of ten benchmark functions demonstrate the superiority of HABC.

关键词： artificial bee colony(ABC) hybrid artificial bee colony(HABC) variable neighborhood search factor memory mechanism

Role-based approaches for operational tasks modeling and flexible decomposition

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Journal of Systems Engineering and Electronics 2016年第6期27卷 1191-1206页

作者： ZhigangZou Wangfang Che Shusheng Wang Yun Bai chengli fan Science and Technology on Complex Aviation Systems Simulation Laboratory Beijing 100076China Air and Missile Defense College Air Force Engineering UniversityXi’an 710051China Department of Information Operation&Command Training National Defense University of PLABeijing 100091China

In order to realize the fact that operational tasks can be decomposed flexibly with new tasks random adding, role-based approaches for operational tasks model and the flexibility decomposition are proposed. Firstly, aiming at the shortcomings of previous task decomposition methods, operational role concepts are introduced to design a computing framework of task flexibility decomposition. Within the framework, task structure matrixes are constructed for tasks decomposition with the mapping relations of information interaction and action process among tasks. On basis of this, via giving operational decomposition granularity, a flexibility approach of operational task decomposition is put forward with three parts about task decomposition granularity adjustment, tasks module partition with different operational role patterns and task decomposition scheme evaluation. Finally, as an application case shown, it is validated that the proposed approaches for tasks modeling and decomposition are available. By comparing with previous decomposition approaches, the proposed approach, within three types of operational roles, has strong environmental adaptability and scheme diversity, which can restrain calculation complexity increment for realizing task flexible decomposition effectively. © 2016 Beijing Institute of Aerospace Information.

关键词： Electronics industry Engineering Industrial engineering

Optimal index shooting policy for layered missile defense system

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Journal of Systems Engineering and Electronics 2020年第1期31卷 118-129页

作者： LI Longyue fan chengli XING Qinghua XU Hailong ZHAO Huizhen Air and Missile Defense College Air Force Engineering University

In order to cope with the increasing threat of the ballistic missile(BM)in a shorter reaction time,the shooting policy of the layered defense system needs to be *** main decisionmaking problem of shooting optimization is how to choose the next BM which needs to be shot according to the previous engagements and results,thus maximizing the expected return of BMs killed or minimizing the cost of BMs *** by this,this study aims to determine an optimal shooting policy for a two-layer missile defense(TLMD)*** paper considers a scenario in which the TLMD system wishes to shoot at a collection of BMs one at a time,and to maximize the return obtained from BMs killed before the system *** provide a policy analysis tool,this paper develops a general model for shooting decision-making,the shooting engagements can be described as a discounted reward Markov decision *** index shooting policy is a strategy that can effectively balance the shooting returns and the risk that the defense mission fails,and the goal is to maximize the return obtained from BMs killed before the system *** numerical results show that the index policy is better than a range of competitors,especially the mean returns and the mean killing BM number.

关键词： Gittins index shooting policy layered missile defense multi-armed bandits problem Markov decision process

Ripple-effect analysis for operational architecture of air defense systems with supernetwork modeling

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Journal of Systems Engineering and Electronics 2014年第2期25卷 249-264页

作者： Zhigang Zou Fuxian Liu Shiman Sun Lu Xia chengli fan School of Air and Missile Defense Air Force Engineering University Research & Development Center China Airport Construction Group Corporation

In order to solve the problem that the ripple-effect analy- sis for the operational architecture of air defense systems （OAADS） is hardly described in quantity with previous modeling approaches, a supernetwork modeling approach for the OAADS is put for- ward by extending granular computing. Based on that operational units and links are equal to different information granularities, the supernetwork framework of the OAADS is constructed as a “four- network within two-layer” structure by forming dynamic operating coalitions, and measuring indexes of the ripple-effect analysis for the OAADS are given combining with Laplace spectral radius. In this framework, via analyzing multidimensional attributes which inherit relations between operational units in different granular scales, an extended granular computing is put forward integrating with a topological structure. Then the operation process within the supernetwork framework, including transformation relations be- tween two layers in the vertical view and mapping relations among functional networks in the horizontal view, is studied in quantity. As the application case shows, comparing with previous modeling approaches, the supernetwork model can validate and analyze the operation mechanism in the air defense architecture, and the ripple-effect analysis can be used to confirm the key operational unit with micro and macro viewpoints.

关键词： operational architecture air defense system super-network model Laplace spectral radius ripple-effect analysis.

新生隐球菌一个新的产孢相关蛋白Srp1的鉴定与功能分析

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微生物学报 2019年第7期59卷 1395-1407页

作者：范成莉西南大学动物科技学院

【目的】研究产孢相关蛋白Srp1在新生隐球菌有性产孢和致病性中的作用及机理。【方法】采用基因枪转化技术构建新生隐球菌SRP1基因缺失突变体及其互补菌株,并通过小鼠致病性实验和菌株交配实验检测Srp1在新生隐球菌有性产孢和致病性中... 详细信息

【目的】研究产孢相关蛋白Srp1在新生隐球菌有性产孢和致病性中的作用及机理。【方法】采用基因枪转化技术构建新生隐球菌SRP1基因缺失突变体及其互补菌株,并通过小鼠致病性实验和菌株交配实验检测Srp1在新生隐球菌有性产孢和致病性中的作用。【结果】与野生型菌株相比,srp1Δ突变体小鼠致病性无差异;srp1Δ突变体能够交配并形成双核菌丝,但丧失产生担孢子的能力;初步机理分析表明srp1Δ突变体交配后其减数分裂过程被阻断,从而导致srp1Δ突变体不能产生担孢子。【结论】产孢相关蛋白Srp1不影响新生隐球菌的致病性,但可通过调控减数分裂过程影响新生隐球菌的有性生殖。

关键词：新生隐球菌交配产孢减数分裂

基于改进PSO的临空高速飞行器协同跟踪优化

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系统工程与电子技术 2017年第3期39卷 476-481页

作者：范成礼付强邢清华空军工程大学防空反导学院陕西西安710051

临空高速飞行器具有飞行空域大、速度快等特点。针对临空高速飞行器协同跟踪面临分配资源要素众多、协同关系复杂等问题,在构建了面向临空高速飞行器的多传感器协同跟踪优化模型的基础上,通过改进粒子群优化算法的速度及位置更新方式,... 详细信息

临空高速飞行器具有飞行空域大、速度快等特点。针对临空高速飞行器协同跟踪面临分配资源要素众多、协同关系复杂等问题,在构建了面向临空高速飞行器的多传感器协同跟踪优化模型的基础上,通过改进粒子群优化算法的速度及位置更新方式,提出了结合置信算子及排斥算子的粒子群优化(confidence operator and repulsion operator particle swarm optimization,CORO-PSO)算法。仿真实验验证了所提算法能够满足临空高速飞行器协同跟踪对精确性及实时性的高要求,对临空高速飞行器探测跟踪系统的发展提供了一定的方法支撑。

关键词：临空高速飞行器多传感器协同跟踪优化改进粒子群优化算法

基于模糊机会约束双层规划的动态火力分配建模与实现

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系统工程理论与实践 2016年第5期36卷 1318-1330页

作者：范成礼邢清华付强王艺菲空军工程大学防空反导学院西安710051

针对现有动态火力分配模型未考虑不确定因素及复杂约束的问题,引入不确定规划理论,建立了基于模糊机会约束双层规划的动态火力分配模型.首先,以最大化效费比和尽早拦截分别作为模型的上下层目标函数,并考虑复杂战场环境下的模型约束.在... 详细信息

针对现有动态火力分配模型未考虑不确定因素及复杂约束的问题,引入不确定规划理论,建立了基于模糊机会约束双层规划的动态火力分配模型.首先,以最大化效费比和尽早拦截分别作为模型的上下层目标函数,并考虑复杂战场环境下的模型约束.在此基础上,构建了一种针对双层多约束动态火力分配问题的递阶结构粒子编码方案,并将带审敛因子的离散变邻域粒子群算法及带怀疑因子及斥力因子的粒子群算法有效结合,利用模糊模拟技术,提出一种分层递阶的混合模糊粒子群算法.仿真实例表明,该算法具有更强的全局寻优能力和更快的收敛速度,能够满足大规模动态火力分配问题对时效性的高要求.

关键词：动态火力分配模糊机会约束双层规划模糊模拟分层递阶粒子编码混合粒子群优化

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自噬在病原真菌生殖中的作用（英文）

微生物学报 2019年第2期59卷 224-234页

作者：范成莉常安妮刘同宝西南大学动物科技学院重庆400715 西南大学家蚕基因组生物学国家重点实验室重庆400715

自噬是真核生物中重要且高度保守的蛋白降解过程。在此过程中,细胞中的细胞器、长寿蛋白及其他大分子物质被双层膜的自噬体包裹并运送至降解细胞器中进行降解并重新利用。自噬在病原真菌诸如细胞分化、营养动态平衡以及致病性等各种细... 详细信息

自噬是真核生物中重要且高度保守的蛋白降解过程。在此过程中,细胞中的细胞器、长寿蛋白及其他大分子物质被双层膜的自噬体包裹并运送至降解细胞器中进行降解并重新利用。自噬在病原真菌诸如细胞分化、营养动态平衡以及致病性等各种细胞过程中起重要作用。在本综述中,我们简要介绍了自噬过程,并以人体病原真菌新生隐球菌为例介绍了病原真菌的有性生殖过程;同时我们也总结了目前模式病原真菌中自噬相关基因的研究情况以及自噬调控病原真菌无性和有性生殖的可能机理;最后我们总结全文并讨论了未来自噬调控真菌有性生殖机理研究的工作方向。

关键词：自噬病原真菌真菌生殖交配产孢

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带随机变异及感知因子的粒子群优化算法

西北工业大学学报 2023年第2期41卷 428-438页

作者：黄懿梁放驰范成礼宋占福空军工程大学基础部陕西西安710051 空军工程大学防空反导学院陕西西安710051

针对传统粒子群算法(PSO)在求解高维空间中复杂函数时容易发生“早熟”现象,根据粒子在空间中的运动规律和散布特点,提出带随机变异因子和动态感知因子的粒子群优化算法。算法通过引入对邻域具有质疑策略的随机变异因子,促使个体粒子对... 详细信息

针对传统粒子群算法(PSO)在求解高维空间中复杂函数时容易发生“早熟”现象,根据粒子在空间中的运动规律和散布特点,提出带随机变异因子和动态感知因子的粒子群优化算法。算法通过引入对邻域具有质疑策略的随机变异因子,促使个体粒子对自身邻域进行探索,降低粒子因过于信赖个体最优和全局最优而发生的“早熟”现象,从而改进速度更新策略;同时,为粒子位置更新引入感知因子,使粒子在同一维度上动态自适应控制自身与其他粒子的空间距离,从而避免陷入局部最优。通过测试函数实验、算法对比分析实验、随机参数影响实验和算法复杂性实验,验证了该算法在求解高维空间中的复杂函数等问题时,具有明显的优越性和鲁棒性。

关键词：粒子群优化算法随机变异因子动态感知因子局部最优全局最优