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Toward Cross-Cultural Assessment Of Career Anxiety: Psychometric Validation Of The Career Anxiety Scale In Indonesia, Arifah Wulandari, Raudha Nur Hidayah Al Jannah, Gracianus Edwin Tue P. Lejap, Elwas Berdha Krismona, Santy Andrianie, Anisah Muflihatul Latifah, Merikan Aren Oct 2026

Toward Cross-Cultural Assessment Of Career Anxiety: Psychometric Validation Of The Career Anxiety Scale In Indonesia, Arifah Wulandari, Raudha Nur Hidayah Al Jannah, Gracianus Edwin Tue P. Lejap, Elwas Berdha Krismona, Santy Andrianie, Anisah Muflihatul Latifah, Merikan Aren

Buletin Konseling Inovatif

Career anxiety has become an important psychological concern among university students amid rapid technological transformation, labor market uncertainty, and increasingly complex school-to-work transitions. However, evidence regarding the factor structure of the Career Anxiety Scale (CAS) in the Indonesian context remains limited. This study aimed to examine the factor structure and psychometric properties of the Indonesian Version of the Career Anxiety Scale (CAS-IV). A cross-sectional survey was conducted with 287 Indonesian university students aged 18–25 years. The instrument was translated in accordance with International Test Commission guidelines and evaluated using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), inter-factor correlations, and …

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Mgrre_Thinsections_Mgrre_11_1, Mgrre Oct 2026

Mgrre_Thinsections_Mgrre_11_1, Mgrre

Thin Sections

No abstract provided.

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Disrupting Higher Education: Assessing The Impact Of Covid-19 On Higher Education Institutions In Indonesia And The United States, Tristan Prodjomaroeto, Ali Muhyidin Oct 2026

Disrupting Higher Education: Assessing The Impact Of Covid-19 On Higher Education Institutions In Indonesia And The United States, Tristan Prodjomaroeto, Ali Muhyidin

Jurnal Pendidikan dan Pembelajaran

This paper examines the impact of COVID-19 on higher education institutions in Indonesia and the United States using qualitative document analysis dedicated to higher education institutions. The findings suggest that the perplexing problems found in higher education institutions have downcutting the ability to achieve equal distribution of quality education, and the crisis caused by COVID-19 has made higher education less accessible specifically towards under-privilege students. Hence, the utilization of EdTech is pivotal in creating equal access and distribution in higher education. It is expected that the prevalent use of such technology is expected to stick in the long run

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The Effect Of Project Based E-Learning Models Toward Learning Outcomes And Critical Thinking Skills Of Vocational High School Students, Made Delina Rusnawati, I Wayan Santyasa Oct 2026

The Effect Of Project Based E-Learning Models Toward Learning Outcomes And Critical Thinking Skills Of Vocational High School Students, Made Delina Rusnawati, I Wayan Santyasa

Jurnal Pendidikan dan Pembelajaran

Learning outcomes and critical thinking skills are main competencies that students must achieve in Digital Simulation subjects. This study aimed to describe the differences in learning outcomes and critical thinking skills together between students who learned by using project-based e-learning model and students who learned by using direct e-learning in Digital Simulation subjects. This research used quasi experiment method. The research design used was a pretest-posttest control group design. The research sample consisted of 4 classes or 133 students by using a simple random sampling technique. This study used two test instruments namely, the learning outcomes test in the form …

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Application Of Model Problem Based Learning Assisted Blended Learning On Cognitive Knowledge Of University Students In Analytical Chemistry Instrument, Varisky Abraham Dumanaw, Surjani Wonorahardjo, Hayuni Retno Widarti Oct 2026

Application Of Model Problem Based Learning Assisted Blended Learning On Cognitive Knowledge Of University Students In Analytical Chemistry Instrument, Varisky Abraham Dumanaw, Surjani Wonorahardjo, Hayuni Retno Widarti

Jurnal Pendidikan dan Pembelajaran

This study aims to determine differences in cognitive knowledge of students who are taught with a problem based learning aided by blended learning on the material of the uv vis spectroscopy. This study uses a cognitive knowledge test instrument that has content validation of 87,92% with very good criteria and a Cronbach Alpha reliability coefficient of 0.653 in the high category. The research was conducted at the Universitas Negeri Manado in two classes. The experimental class was taught by the problem based learning model assisted by blended learning and the control class that was taught with a problem based learning …

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Effects Of Differentiated Physical Education Learning On Physical Fitness And Active Lifestyle Among Junior High School Students: A Quasi-Experimental Study, Asep Akbaruddin, Sumbara Hambali, Wahyu Saputra, Mochamad Fajar Permana Oct 2026

Effects Of Differentiated Physical Education Learning On Physical Fitness And Active Lifestyle Among Junior High School Students: A Quasi-Experimental Study, Asep Akbaruddin, Sumbara Hambali, Wahyu Saputra, Mochamad Fajar Permana

Indonesian Journal of Research in Physical Education, Sport, and Health

Background: Low levels of physical fitness and physical activity among junior high school students remain a significant concern in physical education. Differentiated instruction offers a potentially effective approach by tailoring learning activities, levels of difficulty, and instructional experiences to students’ readiness, interests, and abilities. Objective: This study aimed to investigate the effects of differentiated physical education instruction on physical fitness and active lifestyles among junior high school students. Methods: A quantitative approach employing a quasi-experimental, nonequivalent control-group design was adopted. A total of 90 junior high school students participated in the study, with 45 assigned to the experimental group and …

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The Effect Of Multisensory Virtual Forest Bathing On Stress Among College Students, Shinta Mustika, Tiara Ditha Puspita, Tasya Berlian Cittra Friyanti, Wilis Srisayekti, Yanti Rubiyanti, Asteria Devy Kumalasari, Yuliana Hanami Oct 2026

The Effect Of Multisensory Virtual Forest Bathing On Stress Among College Students, Shinta Mustika, Tiara Ditha Puspita, Tasya Berlian Cittra Friyanti, Wilis Srisayekti, Yanti Rubiyanti, Asteria Devy Kumalasari, Yuliana Hanami

Psychological Research on Urban Society

Stress is a common psychological problem among university students and may be caused by academic, social, and environmental demands. This study aimed to examine the effect of multisensory virtual forest bathing (VFB) on reducing stress among university students. A randomized pretest-posttest waitlist-control design was employed. Participants were 58 undergraduate students from the Faculty of Psychology, Universitas Padjadjaran with moderate-to-high stress levels based on the Perceived Stress Scale (PSS-10), after outliers were removed. The experimental group received a ±9-minute 360° forest video intervention delivered through virtual reality (VR) with auditory and olfactory stimulation, while the waitlist control group received no intervention …

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Medical Authority And Sales Promotion Personnel: Consumer Trust And Formula Milk Purchase Decisions Among Breastfeeding Mothers In West Kalimantan, Indonesia, Reza Fernandes, Muhammad Aras Oct 2026

Medical Authority And Sales Promotion Personnel: Consumer Trust And Formula Milk Purchase Decisions Among Breastfeeding Mothers In West Kalimantan, Indonesia, Reza Fernandes, Muhammad Aras

JURNAL KOMUNIKASI INDONESIA

This study examines the relationships among Sales Promotion Personnel (SPP), medical authority recommendations, consumer trust, and formula milk purchasing decisions among breastfeeding mothers in West Kalimantan, Indonesia. Formula milk is a high-involvement, health-related product for which consumers may rely on the credibility of information sources when evaluating alternatives. A quantitative cross-sectional survey was conducted among 402 breastfeeding mothers who had purchased or considered purchasing formula milk. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The findings indicate positive model-implied relationships between both communication sources and consumer trust, with medical authority recommendations showing a stronger …

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Conventional And Emerging Pre-Treatments For Plant Protein Fermentation: Prospects For Next-Generation Plant-Based Meat Analogues, Vishal Sharma, Ruth M. Hamill, Eduarda M. Cabral, Catherine M. Burgess, Catherine Barry-Ryan Oct 2026

Conventional And Emerging Pre-Treatments For Plant Protein Fermentation: Prospects For Next-Generation Plant-Based Meat Analogues, Vishal Sharma, Ruth M. Hamill, Eduarda M. Cabral, Catherine M. Burgess, Catherine Barry-Ryan

Research Outputs: 2025-Present

The development of plant-based meat analogues (PBMAs) that accurately replicate meat texture and flavor remains limited by fundamental structural differences between plant and animal proteins. Most notably, the globular conformation of plant proteins contrasts with the fibrous anisotropy of animal muscle, thereby limiting viscoelasticity. Additional challenges include beany off-notes arising from lipid oxidation products such as hexanal and anti-nutritional factors (ANFs) that reduce bioavailability. Fermentation is a traditional technology increasingly explored as a strategy to address these limitations by modifying protein structure and functional properties, and by promoting the formation of savory volatile compounds. However, conventional processing and extraction of …

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Understanding Gratitude And Thriving At Work Among Rescue Workers, Muhammad Faidhil Iman, Debora Eflina Purba Oct 2026

Understanding Gratitude And Thriving At Work Among Rescue Workers, Muhammad Faidhil Iman, Debora Eflina Purba

Psychological Research on Urban Society

Thriving at work, characterized by sustained vitality and continuous learning, is a critical psychological state for personnel navigating high-risk rescue environments. Drawing on the Socially Embedded Model of Thriving (SEMT), this study investigates gratitude at work as a key undefined personnel resource that fosters thriving at work through the mediating mechanism of meaningful work. Furthermore, we hypothesized that a toxic contextual environment, specifically abusive supervision, would act as a boundary condition hindering grateful individuals from deriving meaningfulness from their work. Using a cross-sectional design, data were collected from 238 first responders across the Fire and Rescue Department, the Disaster Management …

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Pjbl-Moocs As Future Models For Vocational High Schools, Mahfudi Sahly Subandi, Syarif Suhartadi, Partono Partono, Andika Bagus Nur Rahma Putra Oct 2026

Pjbl-Moocs As Future Models For Vocational High Schools, Mahfudi Sahly Subandi, Syarif Suhartadi, Partono Partono, Andika Bagus Nur Rahma Putra

Jurnal Pendidikan dan Pembelajaran

The purpose of this research is to develop a Project Based Learning model assisted by the Massive Open Online Course. The research design uses Research and Development. The results of the feasibility study of PjBL-MOOCs products include: a) design of 93.75%, b) manuals of 95.13%, c) pictures and charts / charts of manuals of 92.31, d) material of 85%, e ) picture quality in material is 77.1%, f) video is 90.4%, g) test instrument is 90.4%, and h) field trial results is 72%. So that PjBL-MOOCs are feasible to improve student learning outcomes.

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Need Assessment For Developing An Online English Proficiency Test Instrument In Higher Education During Covid-19 Pandemic, Asa Bani Putria, Wahyu Lestari Oct 2026

Need Assessment For Developing An Online English Proficiency Test Instrument In Higher Education During Covid-19 Pandemic, Asa Bani Putria, Wahyu Lestari

Jurnal Pendidikan dan Pembelajaran

This study aims to find out things needed to develop an online English proficiency test instrument in higher education during COVID-19 pandemic. The method of this study was descriptive qualitative method by using observation and interview as the data collection techniques. This study mention three main points that are needed in developing an online test instrument. The first is the system or application that will be used in conducting the online test. The second is the administrator of the online test. The last point is the device and facilities that support the online test.

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Sinergia Para Un Futuro Sostenible. Tecnologías Y Agrosistemas, Jaime Eduardo Andrade Ramírez, Angélica Bravo Bojórquez Oct 2026

Sinergia Para Un Futuro Sostenible. Tecnologías Y Agrosistemas, Jaime Eduardo Andrade Ramírez, Angélica Bravo Bojórquez

Ingeniería

Este libro reúne los resultados más relevantes del proyecto de investigación “Laboratorio Experimental de Sistemas Tecnológicos Orientados a Modelos Acuapónicos (Lestoma)” desarrollado en la Universidad de Cundinamarca, Extensión Facatativá, liderado por el Grupo de Investigación de Sistemas y Tecnología Facatativá (GISTFA). Lestoma también contó con la colaboración de los grupos de investigación Axioma, Agrociencia y Cundinamarca Agroambiental, adscritos respectivamente al programa de Ingeniería de Sistemas y Computación, Ingeniería Agronómica e Ingeniería Ambiental de las Facultades de Ingeniería y Ciencias Agropecuarias. El proyecto también contó con la colaboración estratégica del grupo de investigación Centro de Investigaciones Ambientales de la Universidad del …

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Llm-Driven Simulation Method For Mobilization Decision-Making In Weapons And Equipment Supply Chain, Qichang Guo, Jihai Zhang, Zichu Qin Oct 2026

Llm-Driven Simulation Method For Mobilization Decision-Making In Weapons And Equipment Supply Chain, Qichang Guo, Jihai Zhang, Zichu Qin

Journal of System Simulation

Abstract: A LLM-driven multi-agent simulation model for production mobilization in the weapons and equipment supply chain is developed to address the practical challenge of transitioning the supply chain from peacetime to wartime production in response to surging wartime demand. The model consists of a military demand layer, a supply chain execution layer, and a mobilization decision-making layer. An LLM is incorporated as a mobilization decision generation module to represent the dynamic regulation of production conversion and expansion under war-readiness budget and production safety constraints. The simulation results show that compared with the no-mobilization and rule-based mobilization strategies, the LLM-based strategy …

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Chemical Plant Control Based On Dynamic Simulation And Reinforcement Learning, Yuxin Li, Haijie Li, Shangbo Han, Kai Gao, Qingyuan Zhang, Yanwen Xiao, Zhengcai Liu Oct 2026

Chemical Plant Control Based On Dynamic Simulation And Reinforcement Learning, Yuxin Li, Haijie Li, Shangbo Han, Kai Gao, Qingyuan Zhang, Yanwen Xiao, Zhengcai Liu

Journal of System Simulation

Abstract: An intelligent control strategy framework combining offline training and on-site deployment for regenerative thermal oxidizer (RTO) operation control based on RL is proposed to solve the problem that fluctuations in exhaust gas concentration and flow, as well as changes in working conditions, make it difficult for RTO to maintain the system operating parameters within the economically optimal range in practical applications. In the offline phase, RL is employed to enable autonomous policy learning and global optimization. In the online phase, an adaptive policy correction mechanism based on real-time data is introduced. RL control strategy is integrated with the operation …

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Five-Dimensional Digital Twin System For Closed-Loop Gasoline Blending Optimization, Yaning Fang, Renchu He Oct 2026

Five-Dimensional Digital Twin System For Closed-Loop Gasoline Blending Optimization, Yaning Fang, Renchu He

Journal of System Simulation

Abstract: An adaptive blending optimization system based on five-dimensional digital twin theory is designed and developed to address the challenges of strict nonlinear constraints and frequent raw material fluctuations. A five-dimensional model architecture is constructed to achieve virtual-real mapping and synergy throughout the blending process. A closed-loop control strategy of "online model correction and dynamic recipe optimization" is proposed. The constrained recursive least squares (RLS) algorithm is adopted to update the octane blending effect model parameters, resolving the model mismatch caused by raw material fluctuations. The linear decreasing weight particle swarm optimization algorithm (LDW-PSO) is combined to determine the optimal …

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Research On Digital Shipyard Design-Procurement Coupling Based On Multi-Agent Systems, Kaitai Peng, Dingyi Feng, Wenbo Zhao, Feier Chen Oct 2026

Research On Digital Shipyard Design-Procurement Coupling Based On Multi-Agent Systems, Kaitai Peng, Dingyi Feng, Wenbo Zhao, Feier Chen

Journal of System Simulation

Abstract: To address the issues of low supply chain collaboration efficiency and inadequate dynamic scheduling capability caused by the disconnection between design and procurement in digital shipbuilding, a method integrating multi-agent simulation with the Q-learning reinforcement learning algorithm is proposed, and a four-tier dynamic supply chain model coupling design and procurement is developed, covering mines, steel mills, shipyards, and shipowners. Based on the depth of collaboration, steel mills are classified into three levels, including full collaboration, partial collaboration, and noncollaboration, with differentiated state spaces and reward functions designed to simulate intelligent pricing and game behaviors under information asymmetry. Simulation results …

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Mission-Oriented Combat Effectiveness Evaluation Model For Intelligent Equipment System-Of-Systems, Long Zhang, Wenbo Huang, Xuanming Feng, Zhen Lei, Ying Wang Oct 2026

Mission-Oriented Combat Effectiveness Evaluation Model For Intelligent Equipment System-Of-Systems, Long Zhang, Wenbo Huang, Xuanming Feng, Zhen Lei, Ying Wang

Journal of System Simulation

Abstract: A hierarchical evolutionary adaptive learning (HEAL) framework is proposed to address the problems in the operational simulation of intelligent equipment systems under complex adversarial environments, including fragmented hierarchical decision-making, unclear mapping between algorithmic indicators and operational effectiveness, and the lack of adaptive evolution capability of simulation models. A multi-layer learning architecture that integrates robust autonomous decision-making for single units, emergent collaboration of system networks, and game-theoretic evolution of system-of-systems strategies is constructed by following the “micro-meso-macro” system-oriented hierarchical modeling paradigm. A cross-layer closed-loop coupling among learned policies, cooperative structures, and operational effectiveness is achieved by combining bottom-up behavioral abstraction …

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Multimodal Perception-Based Trajectory Planning Method For Uavs In Forest Environments, Dequan Li, Jiahao Jiang Oct 2026

Multimodal Perception-Based Trajectory Planning Method For Uavs In Forest Environments, Dequan Li, Jiahao Jiang

Journal of System Simulation

Abstract: To address the requirements for low-latency local planning and safe obstacle avoidance in UAV forest-fire patrol under dense tree-trunk occlusion and locally invalid depth observations, this paper proposes a learning-based local trajectory planning method that fuses depth images, local occupancy distance maps, candidate-level collision-risk assessment, and pre-execution safety reranking. The method uses depth images, local occupancy distance maps, motion states, and target direction as inputs and generates 15 quintic-polynomial candidate trajectories in parallel using 3 × 5 angular motion primitives. During training, candidate safety costs, ranking supervision, and near-collision risk labels are constructed. During inference, online LiDAR point clouds …

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Manifold Alignment And Dual Prediction-Based Adaptive Dynamic Multi-Objective Evolutionary Algorithm, Xuezhi Yue, Chao Xiong, Yanshen Jiang, Zhaolu Guo, Hu Peng Oct 2026

Manifold Alignment And Dual Prediction-Based Adaptive Dynamic Multi-Objective Evolutionary Algorithm, Xuezhi Yue, Chao Xiong, Yanshen Jiang, Zhaolu Guo, Hu Peng

Journal of System Simulation

Abstract: To address prediction failure, manifold topology distortion, and insufficient adaptability in environmental response and operator configuration in existing prediction-based algorithms for dynamic multi-objective optimization under complex nonlinear environments and small-sample settings, this paper proposes a manifold alignment and dual prediction-based adaptive dynamic multi-objective evolutionary algorithm, termed MADP-DMOEA. When the environment changes, the algorithm decomposes the decision-variable manifold into center and shape components, effectively aligns manifolds at adjacent time instants via bipartite optimal matching, and identifies environmental change severity using geometric displacement. A dual prediction model is developed, in which a GRNN performs center extrapolation under severe changes, while an …

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Cooperative Hunting Method For Multiple Usvs Based On Improved Maddpg, Yonghao Zhang, Changyou Xue, Xueman Fan, Zhuo Cheng Oct 2026

Cooperative Hunting Method For Multiple Usvs Based On Improved Maddpg, Yonghao Zhang, Changyou Xue, Xueman Fan, Zhuo Cheng

Journal of System Simulation

Abstract: A cooperative hunting method based on improved multi-agent deep deterministic policy gradient (MADDPG) is proposed to address the challenges of non-stationary environments, sparse rewards, and partial observations in the cooperative hunting of targets with unknown motion patterns by multiple unmanned surface vessels (USVs). A Markov game model for hunting is built, and a multidimensional guided reward shaping function incorporating collision avoidance, hunting success, and energy consumption penalties is designed to mitigate the sparse reward problem. ResNet residual networks are introduced to construct the Actor and Critic networks and thus enhance the representation capability of deep networks for complex state-action …

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Five-Axis Multi-Station Process Planning Based On Multi-Task Graph Reinforcement Learning, Junjie Liu, Jianlei Xu, Litao Ju, Yanhai Hu, Qinghao Zhang, Qiang Liu Oct 2026

Five-Axis Multi-Station Process Planning Based On Multi-Task Graph Reinforcement Learning, Junjie Liu, Jianlei Xu, Litao Ju, Yanhai Hu, Qinghao Zhang, Qiang Liu

Journal of System Simulation

Abstract: A hierarchical intelligent planning architecture integrating multi-task graph and masked proximal policy optimization (MTG-MPPO) is proposed to address the challenges of factorial expansion of the state space and multi-objective interference in five-axis multi-feature machining. An attributed adjacency graph integrating boundary representation and machining direction vectors is constructed. Probabilistic soft labels are output through a multi-task network to quantify process flexibility and thus achieve prior topological pruning of solution space. An MDP model integrating directed acyclic graph masks and dense reward shaping is built. A Monte Carlo (MC) optimization mechanism based on policy distribution is introduced to coordinate cutting, tool-changing, …

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Dynamic Multi-Objective Optimization Algorithm Based On Residual-Driven Two-Stage Prediction And Its Application, Xin Zhang, Han Wang, Pengjiang Qian, Wei Fang Oct 2026

Dynamic Multi-Objective Optimization Algorithm Based On Residual-Driven Two-Stage Prediction And Its Application, Xin Zhang, Han Wang, Pengjiang Qian, Wei Fang

Journal of System Simulation

Abstract: A dynamic multi-objective optimization algorithm based on residual-driven two-stage prediction (RDTP) is proposed to address the dilemma of prediction strategies in dynamic multi-objective optimization struggling with insufficient samples in the early stage and low accuracy in the later stage. In the initial stage, if an environmental change is detected, grey prediction, which is fast and suitable for small samples, is employed to generate individuals for the new environment. A residual analysis is performed to determine whether to switch to a LSSVM to improve prediction accuracy as more samples become available. The Pareto front is clustered to select detection objects. …

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Optimization Of Mobile Power Resource Allocation And Scheduling For Multi-Point Emergency Response, Ding Ma, Tao Zhang, Bo Jiang, Yajie Liu, Shuijia Li Oct 2026

Optimization Of Mobile Power Resource Allocation And Scheduling For Multi-Point Emergency Response, Ding Ma, Tao Zhang, Bo Jiang, Yajie Liu, Shuijia Li

Journal of System Simulation

Abstract: In extreme event scenarios, urban mobile power resources (MPRs) suffer from uneven spatial distribution and capacity mismatch during emergency scheduling. To achieve globally rational allocation and improve resource configuration and power supply guarantee, a two-stage decision-making method for MPR allocation and scheduling is proposed for multi-point emergency power demands. First, the characteristics of MPRs and travel energy consumption are modeled. In the first stage, an allocation model considering demand satisfaction, capacity matching, and dispatch time is established to solve the macro-level matching problem between MPRs and demand points. In the second stage, an interface scheduling model is constructed based …

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Coordinated Optimization Of Heterogeneous Fleet Configuration And Multimodal Routing For Industrial Clusters, Renxin Xiao, Yifan Xu, Guisheng Chen, Nan Pan Oct 2026

Coordinated Optimization Of Heterogeneous Fleet Configuration And Multimodal Routing For Industrial Clusters, Renxin Xiao, Yifan Xu, Guisheng Chen, Nan Pan

Journal of System Simulation

Abstract: A two-level optimization model integrating heterogeneous electric vehicle fleet configuration with multimodal path coordination is built to address the challenges in industrial cluster freight transportation involving electric heterogeneous fleet scheduling, such as diverse tasks and stringent constraints on energy consumption and delivery timeliness. Considering the performance coupling characteristics of heterogeneous electric fleets in terms of load-energy consumption-endurance, based on the coordination of multimodal paths and fleet configuration coding, the upper level employs the GWO to optimize task splitting and fleet configuration. The lower level adopts a multi-neighborhood SA algorithm to achieve path coordination scheduling. Simulation results show that the …

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Simulation Study On Circular-Track Rgv Scheduling Based On Railway Operating Rules, Hualan Wang, Li Wang, Zhongning Fu Oct 2026

Simulation Study On Circular-Track Rgv Scheduling Based On Railway Operating Rules, Hualan Wang, Li Wang, Zhongning Fu

Journal of System Simulation

Abstract: To address the limitations of circular RGV systems under high-density operating conditions, including a simple operational structure and limited parallel operation capability, this study investigates track structures and dispatching mechanisms for complex operational requirements. Based on the agent-based modeling method implemented on the AnyLogic platform, a simulation model of an RGV system with a nested circular track layout was developed, in which an embedded sub-loop equipped with track-switching devices is introduced into the traditional circular track structure. Operating and dispatching rules suitable for the nested circular structure are designed by incorporating the concepts of section operation and overtaking in …

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Air Defense Resource Allocation And Reconstruction Method Based On Kggom, Jiaoxiong Chen, Chenglong Zhang, Yuqiang Zhao, Xianglin Li, Qiang Zhao Oct 2026

Air Defense Resource Allocation And Reconstruction Method Based On Kggom, Jiaoxiong Chen, Chenglong Zhang, Yuqiang Zhao, Xianglin Li, Qiang Zhao

Journal of System Simulation

Abstract: To address the challenge that traditional solving methods cannot meet real-time requirements in the intelligent allocation and reconstruction of air defense operation resources, this paper focuses on an intelligent solving method for the dynamic allocation and reconstruction of intercept timing sensor-weapon-target. A multi-constraint model is established with damage effectiveness and operation cost as optimization objectives, and a knowledge-guided genetic optimization method (KGGOM) is proposed. Through knowledge-guided population generation and evolution, constraint-aware operators with correction mechanisms, and multi-path search combined with simulated annealing for gene correction, it improves its optimization capability and speed. Historical superior solution retention and dynamic elite …

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Hybrid Jaya-Transformer-Based Task Scheduling Algorithm For Super-Agile Satellites, Haoyu Zhao, Guanghui Zhang, Lanting Hao, Meijia Guo Oct 2026

Hybrid Jaya-Transformer-Based Task Scheduling Algorithm For Super-Agile Satellites, Haoyu Zhao, Guanghui Zhang, Lanting Hao, Meijia Guo

Journal of System Simulation

Abstract: Super-agile satellite task scheduling is characterized by complex constraints and tight coupling among task transitions. To address the relatively long online solution times of traditional heuristic algorithms, this paper establishes a super-agile satellite task scheduling model that aims to maximize the task profit ratio while considering constraints on visible time windows, attitude transition time, energy, and storage capacity. A Transformer is used to learn task requirements, visible time windows, and global correlations among tasks, and a dynamic mask and a task scheduler are incorporated to generate feasible task sequences. To enhance the model's ability to learn complex task correlations …

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Aerial Refueling Scheduling Plan Generation Method For Multi-Position Task Management *, Jiachen Hu, Huanyu Li Oct 2026

Aerial Refueling Scheduling Plan Generation Method For Multi-Position Task Management *, Jiachen Hu, Huanyu Li

Journal of System Simulation

Abstract: An aerial refueling scheduling plan generation method based on hierarchical hybrid strategy is proposed to address the high complexity of aerial refueling scheduling for multi-position tasks and the difficulty for traditional manual operations or single-position-oriented solutions to manage tasks effectively. A multi-level strategic framework based on fixed-rule heuristics, rolling horizon optimization, and steady-state cyclic scheduling is developed and integrated into a hierarchical hybrid strategy to balance scheduling efficiency, optimization capability, and emergency response capability. Simulation results demonstrate that the proposed method effectively generates feasible refueling scheduling plans, producing viable plans under both undisturbed rotational operations and disturbed dynamic support …

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Flight Test Mission Planning Method Based On Adaptive Large Neighborhood Search, Luofu Wu, Xinyang Wu, Lunhao Ju, Guopeng Song, Rui Wang, Jiang Jiang Oct 2026

Flight Test Mission Planning Method Based On Adaptive Large Neighborhood Search, Luofu Wu, Xinyang Wu, Lunhao Ju, Guopeng Song, Rui Wang, Jiang Jiang

Journal of System Simulation

Abstract: Flight test mission planning is critical to aircraft performance evaluation, but traditional manual methods often struggle with extensive solution spaces and complex constraints. This paper constructs an overall flight test mission planning model and introduces a flight test planning algorithm (FTPA) based on adaptive large neighborhood search. FTPA utilizes Kahn topological sorting to generate an initial test-item priority sequence, which is then decoded into an initial solution, and jointly schedules flight test items and test aircraft within the adaptive large neighborhood search framework. A comparison with the CPLEX solver shows that the FTPA algorithm yields solutions with a gap …

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