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Multi-platform collaborative MRC-PSO algorithm for anti-ship missile path planning
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作者 LIU Gang GUO Xinyuan +2 位作者 HUANG Dong CHEN Kezhong LI Wu 《Journal of Systems Engineering and Electronics》 2025年第2期494-509,共16页
To solve the problem of multi-platform collaborative use in anti-ship missile (ASM) path planning, this paper pro-posed multi-operator real-time constraints particle swarm opti-mization (MRC-PSO) algorithm. MRC-PSO al... To solve the problem of multi-platform collaborative use in anti-ship missile (ASM) path planning, this paper pro-posed multi-operator real-time constraints particle swarm opti-mization (MRC-PSO) algorithm. MRC-PSO algorithm utilizes a semi-rasterization environment modeling technique and inte-grates the geometric gradient law of ASMs which distinguishes itself from other collaborative path planning algorithms by fully considering the coupling between collaborative paths. Then, MRC-PSO algorithm conducts chunked stepwise recursive evo-lution of particles while incorporating circumvent, coordination, and smoothing operators which facilitates local selection opti-mization of paths, gradually reducing algorithmic space, accele-rating convergence, and enhances path cooperativity. Simula-tion experiments comparing the MRC-PSO algorithm with the PSO algorithm, genetic algorithm and operational area cluster real-time restriction (OACRR)-PSO algorithm, which demon-strate that the MRC-PSO algorithm has a faster convergence speed, and the average number of iterations is reduced by approximately 75%. It also proves that it is equally effective in resolving complex scenarios involving multiple obstacles. More-over it effectively addresses the problem of path crossing and can better satisfy the requirements of multi-platform collabora-tive path planning. The experiments are conducted in three col-laborative operation modes, namely, three-to-two, three-to-three, and four-to-two, and the outcomes demonstrate that the algorithm possesses strong universality. 展开更多
关键词 anti-ship missiles multi-platform collaborative path planning particle swarm optimization(PSO)algorithm
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Entire aerial-aquatic trajectory modeling and optimization for trans- medium vehicles
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作者 Teng Long Nianhui Ye +2 位作者 Baoshou Zhang Jingliang Sun Renhe Shi 《Defence Technology(防务技术)》 2025年第7期223-241,共19页
Trans-medium flight vehicles can combine high aerial maneuverability and underwater concealment ability,which have attracted much attention recently.As the most crucial procedure,the trajectory design generally determ... Trans-medium flight vehicles can combine high aerial maneuverability and underwater concealment ability,which have attracted much attention recently.As the most crucial procedure,the trajectory design generally determines the trans-medium flight vehicle performance.To quantitatively analyze the flight vehicle performance,an entire aerial-aquatic trajectory model is developed in this paper.Different from modeling a trajectory purely for the water entry process,the constructed entire trajectory model has integrated aerial,water entry,and underwater trajectories together,which can consider the influence of the connected trajectories.As for the aerial and underwater trajectories,explicit dynamic models are established to obtain the trajectory parameters.Due to the complicated fluid force during high-velocity water entry,a computational fluid dynamics model is investigated to analyze this phase.The compu-tational domain size is adaptively refined according to the final aerial trajectory state,where the redundant computational domain is removed.An entire trajectory optimization problem is then formulated to maximize the total flight range via tuning the joint states of different trajectories.Simultaneously,several constraints,i.e.,the max impact load,trajectory height,etc.,are involved in the optimization problem.Rather than directly optimizing by a heuristic algorithm,a multi-surrogate cooperative sampling-based optimization method is proposed to alleviate the computational complexity of the entire trajectory optimization problem.In this method,various surrogates coopera-tively generate infill sample points,thereby preventing the poor approximation.After optimization,the total flight range can be improved by 20%,while all the constraints are satisfied.The result demonstrates the effectiveness and practicability of the developed model and optimization framework. 展开更多
关键词 Water entry Trans-medium vehicle Computational fluid dynamics Trajectory optimization Pseudospectral method Surrogate
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Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areas
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作者 Mengyang Wang Dong Zhang +1 位作者 Chaoyue Li Zhaohua Zhang 《Defence Technology(防务技术)》 2025年第5期197-215,共19页
Complex multi-area collaborative coverage path planning in dynamic environments poses a significant challenge for multi-fixed-wing UAVs(multi-UAV).This study establishes a comprehensive framework that incorporates UAV... Complex multi-area collaborative coverage path planning in dynamic environments poses a significant challenge for multi-fixed-wing UAVs(multi-UAV).This study establishes a comprehensive framework that incorporates UAV capabilities,terrain,complex areas,and mission dynamics.A novel dynamic collaborative path planning algorithm is introduced,designed to ensure complete coverage of designated areas.This algorithm meticulously optimizes the operation,entry,and transition paths for each UAV,while also establishing evaluation metrics to refine coverage sequences for each area.Additionally,a three-dimensional path is computed utilizing an altitude descent method,effectively integrating twodimensional coverage paths with altitude constraints.The efficacy of the proposed approach is validated through digital simulations and mixed-reality semi-physical experiments across a variety of dynamic scenarios,including both single-area and multi-area coverage by multi-UAV.Results show that the coverage paths generated by this method significantly reduce both computation time and path length,providing a reliable solution for dynamic multi-UAV mission planning in semi-physical environments. 展开更多
关键词 Multi-fixed-wing UAVs(multi-UAV) Minimum time cooperative coverage Dynamic complete coverage path planning(DCCPP) Dubins curves Improved dynamic programming algorithm(IDP)
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AUV 3D path planning based on improved PSO
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作者 LI Hongen LI Shilong +1 位作者 WANG Qi HUANG Xiaoming 《Journal of Systems Engineering and Electronics》 2025年第3期854-866,共13页
The influence of ocean environment on navigation of autonomous underwater vehicle(AUV)cannot be ignored.In the marine environment,ocean currents,internal waves,and obstacles are usually considered in AUV path planning... The influence of ocean environment on navigation of autonomous underwater vehicle(AUV)cannot be ignored.In the marine environment,ocean currents,internal waves,and obstacles are usually considered in AUV path planning.In this paper,an improved particle swarm optimization(PSO)is proposed to solve three problems,traditional PSO algorithm is prone to fall into local optimization,path smoothing is always carried out after all the path planning steps,and the path fitness function is so simple that it cannot adapt to complex marine environment.The adaptive inertia weight and the“active”particle of the fish swarm algorithm are established to improve the global search and local search ability of the algorithm.The cubic spline interpolation method is combined with PSO to smooth the path in real time.The fitness function of the algorithm is optimized.Five evaluation indexes are comprehensively considered to solve the three-demensional(3D)path planning problem of AUV in the ocean currents and internal wave environment.The proposed method improves the safety of the path planning and saves energy. 展开更多
关键词 autonomous underwater vehicle(AUV) three-dimensional(3D)path planning particle swarm optimization(PSO) cubic spline interpolation
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Rotary unmanned aerial vehicles path planning in rough terrain based on multi-objective particle swarm optimization 被引量:25
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作者 XU Zhen ZHANG Enze CHEN Qingwei 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2020年第1期130-141,共12页
This paper presents a path planning approach for rotary unmanned aerial vehicles(R-UAVs)in a known static rough terrain environment.This approach aims to find collision-free and feasible paths with minimum altitude,le... This paper presents a path planning approach for rotary unmanned aerial vehicles(R-UAVs)in a known static rough terrain environment.This approach aims to find collision-free and feasible paths with minimum altitude,length and angle variable rate.First,a three-dimensional(3D)modeling method is proposed to reduce the computation burden of the dynamic models of R-UAVs.Considering the length,height and tuning angle of a path,the path planning of R-UAVs is described as a tri-objective optimization problem.Then,an improved multi-objective particle swarm optimization algorithm is developed.To render the algorithm more effective in dealing with this problem,a vibration function is introduced into the collided solutions to improve the algorithm efficiency.Meanwhile,the selection of the global best position is taken into account by the reference point method.Finally,the experimental environment is built with the help of the Google map and the 3D terrain generator World Machine.Experimental results under two different rough terrains from Guilin and Lanzhou of China demonstrate the capabilities of the proposed algorithm in finding Pareto optimal paths. 展开更多
关键词 unmanned aerial vehicle(UAV) path planning multiobjective optimization particle swarm optimization
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System optimization-oriented spare parts dynamic configuration model for multi-echelon multi-indenture system 被引量:9
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作者 Minzhi Ruan Hua Li Jian Fu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2017年第5期923-933,共11页
In order to optimize the spares configuration project at different stages during the life cycle, the factor of time is considered to relax the assumption of the spares steady demand in multi-echelon technique for reco... In order to optimize the spares configuration project at different stages during the life cycle, the factor of time is considered to relax the assumption of the spares steady demand in multi-echelon technique for recoverable item control (METRIC) theory. According to the method of systems analysis, the dynamic palm theorem is introduced to establish the prediction model of the spares demand rate, and its main influence factors are analyzed, based on which, the spares support effectiveness evaluation index system is studied, and the system optimization-oriented spares dynamic configuration method for multi-echelon multi-indenture system is proposed. Through the analysis of the optimization algorithm, the layered marginal algorithm is designed to improve the model calculation efficiency. In a given example, the multi-stage spares configuration project during its life cycle is gotten, the research result conforms to the actual status, and it can provide a new way for the spares dynamic optimization. 展开更多
关键词 system optimization spare parts dynamic demand support effectiveness multi-echelon multi-indenture layered marginal algorithm
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Global path planning approach based on ant colony optimization algorithm 被引量:6
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作者 文志强 蔡自兴 《Journal of Central South University of Technology》 EI 2006年第6期707-712,共6页
Ant colony optimization (ACO) algorithm was modified to optimize the global path. In order to simulate the real ant colonies, according to the foraging behavior of ant colonies and the characteristic of food, concepti... Ant colony optimization (ACO) algorithm was modified to optimize the global path. In order to simulate the real ant colonies, according to the foraging behavior of ant colonies and the characteristic of food, conceptions of neighboring area and smell area were presented. The former can ensure the diversity of paths and the latter ensures that each ant can reach the goal. Then the whole path was divided into three parts and ACO was used to search the second part path. When the three parts pathes were adjusted, the final path was found. The valid path and invalid path were defined to ensure the path valid. Finally, the strategies of the pheromone search were applied to search the optimum path. However, when only the pheromone was used to search the optimum path, ACO converges easily. In order to avoid this premature convergence, combining pheromone search and random search, a hybrid ant colony algorithm(HACO) was used to find the optimum path. The comparison between ACO and HACO shows that HACO can be used to find the shortest path. 展开更多
关键词 mobile robot ant colony optimization global path planning PHEROMONE
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Global optimal path planning for mobile robot based onimproved Dijkstra algorithm and ant system algorithm 被引量:21
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作者 谭冠政 贺欢 Aaron Sloman 《Journal of Central South University of Technology》 EI 2006年第1期80-86,共7页
A novel method of global optimal path planning for mobile robot was proposed based on the improved Dijkstra algorithm and ant system algorithm. This method includes three steps: the first step is adopting the MAKLINK ... A novel method of global optimal path planning for mobile robot was proposed based on the improved Dijkstra algorithm and ant system algorithm. This method includes three steps: the first step is adopting the MAKLINK graph theory to establish the free space model of the mobile robot, the second step is adopting the improved Dijkstra algorithm to find out a sub-optimal collision-free path, and the third step is using the ant system algorithm to adjust and optimize the location of the sub-optimal path so as to generate the global optimal path for the mobile robot. The computer simulation experiment was carried out and the results show that this method is correct and effective. The comparison of the results confirms that the proposed method is better than the hybrid genetic algorithm in the global optimal path planning. 展开更多
关键词 mobile robot global optimal path planning improved Dijkstra algorithm ant system algorithm MAKLINK graph free MAKLINK line
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LSTM-DPPO based deep reinforcement learning controller for path following optimization of unmanned surface vehicle 被引量:3
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作者 XIA Jiawei ZHU Xufang +1 位作者 LIU Zhong XIA Qingtao 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2023年第5期1343-1358,共16页
To solve the path following control problem for unmanned surface vehicles(USVs),a control method based on deep reinforcement learning(DRL)with long short-term memory(LSTM)networks is proposed.A distributed proximal po... To solve the path following control problem for unmanned surface vehicles(USVs),a control method based on deep reinforcement learning(DRL)with long short-term memory(LSTM)networks is proposed.A distributed proximal policy opti-mization(DPPO)algorithm,which is a modified actor-critic-based type of reinforcement learning algorithm,is adapted to improve the controller performance in repeated trials.The LSTM network structure is introduced to solve the strong temporal cor-relation USV control problem.In addition,a specially designed path dataset,including straight and curved paths,is established to simulate various sailing scenarios so that the reinforcement learning controller can obtain as much handling experience as possible.Extensive numerical simulation results demonstrate that the proposed method has better control performance under missions involving complex maneuvers than trained with limited scenarios and can potentially be applied in practice. 展开更多
关键词 unmanned surface vehicle(USV) deep reinforce-ment learning(DRL) path following path dataset proximal po-licy optimization long short-term memory(LSTM)
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Energy saving analysis of segment positioning in shield tunneling machine considering assembling path optimization 被引量:4
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作者 施虎 龚国芳 +1 位作者 杨华勇 梅雪松 《Journal of Central South University》 SCIE EI CAS 2014年第12期4526-4536,共11页
A motion parameter optimization method based on the objective of minimizing the total energy consumption in segment positioning was proposed for segment erector of shield tunneling machine. The segment positioning pro... A motion parameter optimization method based on the objective of minimizing the total energy consumption in segment positioning was proposed for segment erector of shield tunneling machine. The segment positioning process was decomposed into rotation, lifting and sliding actions in deriving the energy calculation model of segment erection. The work of gravity was taken into account in the mathematical modeling of energy consumed by each actuator. In order to investigate the relationship between the work done by the actuator and the path moved along by the segment, the upward and downward directions as well as the operating quadrant of the segment erector were defined. Piecewise nonlinear function of energy was presented, of which the result is determined by closely coupled components as working parameters and some intermediate variables. Finally, the effectiveness of the optimization method was proved by conducting a case study with a segment erector for the tunnel with a diameter of 3 m and drawing comparisons between different assembling paths. The results show that the energy required by assembling a ring of segments along the optimized moving path can be reduced up to 5%. The method proposed in this work definitely provides an effective energy saving solution for shield tunneling machine. 展开更多
关键词 energy saving segment erector work of gravity path optimization shield tunneling machine
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A dynamic condition-based maintenance optimization model for mission-oriented system based on inverse Gaussian degradation process 被引量:2
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作者 LI Jingfeng CHEN Yunxiang +1 位作者 CAI Zhongyi WANG Zezhou 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2022年第2期474-488,共15页
An effective maintenance policy optimization model can reduce maintenance cost and system operation risk. For mission-oriented systems, the degradation process changes dynamically and is monotonous and irreversible. M... An effective maintenance policy optimization model can reduce maintenance cost and system operation risk. For mission-oriented systems, the degradation process changes dynamically and is monotonous and irreversible. Meanwhile, the risk of early failure is high. Therefore, this paper proposes a dynamic condition-based maintenance(CBM) optimization model for mission-oriented system based on inverse Gaussian(IG) degradation process. Firstly, the IG process with random drift coefficient is used to describe the degradation process and the relevant probability distributions are obtained. Secondly, the dynamic preventive maintenance threshold(DPMT) function is used to control the early failure risk of the mission-oriented system, and the influence of imperfect preventive maintenance(PM)on the degradation amount and degradation rate is analysed comprehensively. Thirdly, according to the mission availability requirement, the probability formulas of different types of renewal policies are obtained, and the CBM optimization model is constructed. Finally, a numerical example is presented to verify the proposed model. The comparison with the fixed PM threshold model and the sensitivity analysis show the effectiveness and application value of the optimization model. 展开更多
关键词 inverse Gaussian(IG)process imperfect preventive maintenance(PM) mission-oriented system dynamic preventive maintenance threshold(DPMT) maintenance optimization
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Ant Colony System Algorithm for Real-Time Globally Optimal Path Planning of Mobile Robots 被引量:26
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作者 TAN Guan-Zheng HE Huan SLOMAN Aaron 《自动化学报》 EI CSCD 北大核心 2007年第3期279-285,共7页
为活动机器人计划的即时全球性最佳的路径的一个新奇方法基于蚂蚁殖民地系统(交流) 被建议算法。这个方法包括三步:第一步正在利用 MAKLINK 图理论建立活动机器人的空间模型,第二步正在利用 Dijkstra 算法发现一条非最优的没有碰撞的... 为活动机器人计划的即时全球性最佳的路径的一个新奇方法基于蚂蚁殖民地系统(交流) 被建议算法。这个方法包括三步:第一步正在利用 MAKLINK 图理论建立活动机器人的空间模型,第二步正在利用 Dijkstra 算法发现一条非最优的没有碰撞的路径,并且第三步正在利用 ACS 算法优化非最优的路径的地点以便产生全球性最佳的路径。建议方法是有效的并且能在即时路径被使用活动机器人计划的计算机模拟实验表演的结果。建议方法比与优秀人材模型一起基于基因算法计划方法的路径处于集中速度,答案变化,动态集中行为,和计算效率有更好的性能,这被验证了。 展开更多
关键词 蚁群系统 运算法则 自动化系统 计算机技术
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Dynamic Control and Optimization of Capital-Constrained Stochastic Inventory Systems 被引量:1
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作者 ZHAO Xiu-li WANG Shou-yang 《运筹与管理》 CSSCI CSCD 北大核心 2015年第2期1-19,共19页
For most firms,especially the small-and medium-sized ones,the operational decisions are affected by their internal capital and ability to obtain external capital.However,the majority of the current studies on dynamic ... For most firms,especially the small-and medium-sized ones,the operational decisions are affected by their internal capital and ability to obtain external capital.However,the majority of the current studies on dynamic inventory control ignore the firm’s financial status and financing issues completely.An important question that arises is:what are the dynamic optimal inventory and financing policies for firms with limited capital and limited access to external capital?In this paper,we review some of the latest developments in this area.After a brief review of single period models,we focus on multi-period dynamic control of the firm who aims to optimize its xpected terminal wealth.Two cases are discussed in detail:self-finance and short term finance.In the first case,the firm has to rely on its own capital for all ordering decisions,while in the second,the firm can borrow short term loan from lenders.A detailed characterization of the optimal policy is presented and its managerial insights are discussed.Several possible extensions are suggested. 展开更多
关键词 数学 运筹学 EOQ IPO
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Optimal search path planning of UUV in battlefeld ambush scene
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作者 Wei Feng Yan Ma +3 位作者 Heng Li Haixiao Liu Xiangyao Meng Mo Zhou 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第2期541-552,共12页
Aiming at the practical application of Unmanned Underwater Vehicle(UUV)in underwater combat,this paper proposes a battlefield ambush scene with UUV considering ocean current.Firstly,by establishing these mathematical ... Aiming at the practical application of Unmanned Underwater Vehicle(UUV)in underwater combat,this paper proposes a battlefield ambush scene with UUV considering ocean current.Firstly,by establishing these mathematical models of ocean current environment,target movement,and sonar detection,the probability calculation methods of single UUV searching target and multiple UUV cooperatively searching target are given respectively.Then,based on the Hybrid Quantum-behaved Particle Swarm Optimization(HQPSO)algorithm,the path with the highest target search probability is found.Finally,through simulation calculations,the influence of different UUV parameters and target parameters on the target search probability is analyzed,and the minimum number of UUVs that need to be deployed to complete the ambush task is demonstrated,and the optimal search path scheme is obtained.The method proposed in this paper provides a theoretical basis for the practical application of UUV in the future combat. 展开更多
关键词 Battlefield ambush Optimal search path planning UUV path Planning Probability of cooperative search
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基于粒子群优化算法的农业机器人控制策略研究 被引量:7
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作者 王娜 吴延凯 许娜 《农机化研究》 北大核心 2025年第1期205-209,共5页
介绍了粒子群优化算法的概念,并由数学模型、边界约束和环境约束对农业机器人优化约束模型进行了分析,实现了对农业机器人的动态避障和路径规划。仿真实验表明:针对复杂的作业环境,农业机器人可以进行最优避障路径规划,且算法收敛速度较... 介绍了粒子群优化算法的概念,并由数学模型、边界约束和环境约束对农业机器人优化约束模型进行了分析,实现了对农业机器人的动态避障和路径规划。仿真实验表明:针对复杂的作业环境,农业机器人可以进行最优避障路径规划,且算法收敛速度较快,能够满足设计要求,证明系统具有一定的可行性。 展开更多
关键词 农业机器人 粒子群 优化约束模型 避障 路径规划
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基于近端策略优化的两栖无人平台路径规划算法研究 被引量:1
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作者 左哲 覃卫 +2 位作者 徐梓洋 李寓安 陈泰然 《北京理工大学学报》 EI CAS 北大核心 2025年第1期19-25,共7页
为解决水陆两栖无人平台在复杂环境中的路径规划问题,针对传统方法难以应对动态障碍物和多变环境的局限性,提出了一种基于近端策略优化(PPO)的路径规划算法,包含四种感知信息输入方案以及速度强化奖励函数,适应动态和静态环境.该算法通... 为解决水陆两栖无人平台在复杂环境中的路径规划问题,针对传统方法难以应对动态障碍物和多变环境的局限性,提出了一种基于近端策略优化(PPO)的路径规划算法,包含四种感知信息输入方案以及速度强化奖励函数,适应动态和静态环境.该算法通过批次函数正则化、策略熵引入和自适应裁剪因子,显著提升了算法的收敛速度和稳定性.研究中采用了ROS仿真平台,结合Flatland物理引擎和PedSim插件,模拟了包含动态障碍物的多种复杂场景.实验结果表明,采用BEV+V状态空间输入结构和离散动作空间的两栖无人平台,在路径规划中展现出高成功率和低超时率,优于传统方法和其他方案.仿真和对比实验显示采用鸟瞰图与速度组合的状态空间数据结构配合速度强化奖励函数算法提高了性能,收敛速度提高25.58%,路径规划成功率提升25.54%,超时率下降13.73%. 展开更多
关键词 路径规划 两栖 无人平台 近端策略优化(PPO)
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优质均衡视角下中小学人工智能教育普及:推进、难点及优化——基于制度分析与发展框架 被引量:2
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作者 范雅琳 王继新 《当代教育论坛》 北大核心 2025年第1期9-18,共10页
中小学人工智能教育普及是全面提升青少年人工智能素养的重要路径,也是加快推进义务教育优质均衡发展的重要举措。面对我国中小学人工智能教育发展不均衡现状,研究基于制度分析与发展框架,从中央和地方两个层面分析了相关政策与推进行动... 中小学人工智能教育普及是全面提升青少年人工智能素养的重要路径,也是加快推进义务教育优质均衡发展的重要举措。面对我国中小学人工智能教育发展不均衡现状,研究基于制度分析与发展框架,从中央和地方两个层面分析了相关政策与推进行动,并从资源配置与行动规则两方面深入剖析了人工智能教育普及的难点。针对智能设施不均衡、师资配置不均衡、社会资源不均衡,以及配套资源亟需优化、教学模式有待创新、普及效果难以衡量等问题,研究从健全经费保障与成本分担机制、完善人才供给与在职选育制度、优化知识体系与配套资源、建立科学监测评价机制几方面提出了中小学人工智能教育普及的优化路径。 展开更多
关键词 优质均衡 人工智能教育 制度分析与发展框架 优化路径
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基于动态更新的钻井参数实时优化方法 被引量:1
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作者 宋先知 张瑞 +4 位作者 祝兆鹏 李根生 效世杰 潘涛 颜志 《钻采工艺》 北大核心 2025年第1期21-28,共8页
当前,钻井参数的优化主要依赖于钻井专家经验或者传统预测与优化模型,这些方法在面对复杂波动环境下的钻井施工精细指导具有较大的局限性,尤其是随着人工智能在钻井系统中的发展,对智能模型的稳定性、实时性和参数优化随机性方面具有限... 当前,钻井参数的优化主要依赖于钻井专家经验或者传统预测与优化模型,这些方法在面对复杂波动环境下的钻井施工精细指导具有较大的局限性,尤其是随着人工智能在钻井系统中的发展,对智能模型的稳定性、实时性和参数优化随机性方面具有限制。针对上述问题,文章提出了一种动态更新下的钻井参数实时优化方法,并研发了钻井参数智能优化系统。该方法考虑了钻井参数与多个响应参数的动态关联,建立了扭矩智能预测模型、机械钻速智能预测模型和机械比能计算模型;其次,基于现场实时数据流和模型实时更新机制,实现了扭矩、机械钻速和机械比能的动态智能表征;最后,基于平稳提速策略设定提速目标,利用改进的鲸鱼优化算法,综合考虑参数波动和能量损耗进行最优方案决策,实现钻井参数实时优化和平稳有效提速。现场应用表明:机械钻速实时预测具有较高精度,有效满足钻井现场实时需求;且平稳提速策略下的优化效果可观,关键层段平均提速可达30%,机械比能降低15%;此外,通过量评价优化后的钻井参数,该提速策略下的参数均值方差波动较小,可减小井下复杂工况发生概率,更符合现场钻井工艺,具有良好应用前景。 展开更多
关键词 机械钻速 动态更新 智能表征 参数优化 最优决策
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新质生产力发展水平动态演进、影响因素及提升路径 被引量:1
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作者 刘源 段丁允 +1 位作者 冯宗宪 张军 《科技进步与对策》 北大核心 2025年第12期1-13,共13页
基于2011-2022年中国内地30个省份数据,构建新质生产力指标体系并使用熵值法测度各省市以及八大综合经济区新质生产力水平,分析其动态演进趋势以及地区差异,识别新质生产力关键影响因素、逻辑关系及作用路径,并通过障碍度计算主要发展... 基于2011-2022年中国内地30个省份数据,构建新质生产力指标体系并使用熵值法测度各省市以及八大综合经济区新质生产力水平,分析其动态演进趋势以及地区差异,识别新质生产力关键影响因素、逻辑关系及作用路径,并通过障碍度计算主要发展障碍因子,提出区域新质生产力提升路径。结果显示:①生产力发展水平高的地区包括广东、北京、江苏、浙江以及山东,按区域划分,东部沿海地区新质生产力发展水平最高;②各区域新质生产力水平呈上升态势但存在较大差异,高水平地区对低水平地区存在正向空间溢出效应;③技术合作流动、未来产业布局、数字经济发展和科技创新为影响地区新质生产力发展的主要障碍因子。研究丰富了新质生产力理论分析框架,为区域因地制宜发展新质生产力提供参考借鉴。 展开更多
关键词 新质生产力 熵值法 动态演进 DEMATEL—ISM模型 提升路径
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区域时变路网下的低碳冷链配送路径优化研究 被引量:1
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作者 杨立君 丁政罡 +3 位作者 左大发 钟双喜 张驰 石佳悦 《包装工程》 北大核心 2025年第7期212-223,共12页
目的优化在区域时变路网下的生鲜冷链配送路径,降低企业的配送成本,提高配送效率。方法针对冷链配送中的时效性和温控管理要求,构建结合道路拥堵状况的区域时变车辆行驶函数,建立基于生鲜冷链配送成本的优化模型;研究采用改进的粒子群算... 目的优化在区域时变路网下的生鲜冷链配送路径,降低企业的配送成本,提高配送效率。方法针对冷链配送中的时效性和温控管理要求,构建结合道路拥堵状况的区域时变车辆行驶函数,建立基于生鲜冷链配送成本的优化模型;研究采用改进的粒子群算法(PSO-GA)进行求解,并比较区域时变模型、时变模型、静态模型的优化结果。结果在求解精度和效率方面,PSO-GA均显著优于粒子群算法(PSO)和遗传算法(GA);在总配送成本方面,PSO-GA比PSO降低2.0%,比GA降低4.2%;在碳排放成本方面,PSO-GA比PSO降低3.9%,比GA降低11.2%。结论模型在区域复杂拥堵环境下成功降低配送成本和碳排放成本,能够较好地仿真现实道路交通配送现状,具有很好的实际意义。 展开更多
关键词 冷链物流 配送路径优化 时变速度 粒子群算法 碳排放
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