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Complex System Modeling and Simulation
Scopus
ISSN 2096-9929 · Tsinghua University Press · 144 artikel di indeks
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Artikel Jurnal
An Approach to Detect and Analyze Continuous Emotions in a Real-Time Online Classroom
In this work, a computational framework for detecting and analyzing the continuous students’ emotions in a real-time online classroom was proposed. A video conferencing system suitable for the online classroom was developed using Web Real-Time Communication (WebRTC). Following this, a Convolutional…
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Advances in LLM-Assisted Combinatorial Optimization
Combinatorial optimization (CO) concerns decision-making over discrete solution spaces under constraints and lies at the core of many complex systems across science, engineering, and society. Yet current approaches to solving CO problems still rely heavily on expert-designed solvers and manual…
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Distributed Prescribed-Time Optimization for Multiple Euler–Lagrange Systems
This article addresses distributed consensus and optimization problem for multiple Euler–Lagrange systems by proposing a novel distributed control scheme, which is motivated by the practical problems including source seeking and communication relay through coordination of multiple mobile robots…
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Employee Relationship Network Modeling and Turnover Prediction Based on Graph Neural Networks
Employee turnover poses persistent challenges for organizations, disturbing operational continuity and strategic planning. Traditional machine learning models, while effective to a certain degree, often fail to capture relational and temporal patterns inherent in workforce dynamics. This study…
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Reinforcement Learning Assisted Meta-Heuristics for Scheduling Distributed Reentrant Flowshops with Sequence-Dependent Setup Time
Reentrant is widespread in many manufacturing scenarios even if there is a few concerns in literature. This study explores a distributed reentrant flow shop scheduling problem with sequence-dependent setup time (DRFSP-SDST). The goal is to minimize the maximum factory completion time (Makespan)…
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Hybrid Multi-Objective Variable-Scale Iterated Greedy Algorithm for Energy-Efficient Distributed Blocked Flowshop Scheduling with Heterogeneous Factories
Energy conservation and carbon reduction are essential for achieving carbon peaking and neutrality, as well as advancing the green transformation of the economy and society. This research examines the energy-efficient distributed blocked flowshop scheduling problem with heterogeneous factories…
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Influence of Penetration Rate of EVs on Optimal Scheduling of Virtual Power Plants
Driven by the “dual-carbon” goals, new energy power generation is gradually dominant, yet distributed energy’s intermittency and volatility challenges power system operation. Focusing on potential flexible resources in power systems and large-scale grid connection of new energy vehicles (EVs), this…
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Optimal Design of Bus Transit Networks Incorporating BRT-Lane-Sharing
BRT-lane-sharing, which allows regular buses to operate on Bus Rapid Transit (BRT) lanes without disrupting scheduled BRT operations, has gained prominence. It is helpful to increase the utilization of BRT lanes and enhance the efficiency of the bus transit system. However, the current approaches…
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Automatic Multiblock Mesh Generation for 3D-Wing Aerodynamic Analysis
In aerodynamic design, high-quality multiblock mesh generation serves as the cornerstone for accurate lift-drag analysis of wings. However, conventional computational fluid dynamics (CFD) workflows offered by industrial software reveals critical limitations in labor-intensive manual operations…
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Robust Scheduling of the EV Charging Station with Dynamic Subsidies Under Price and Demand Uncertainties
The online scheduling of electric vehicle (EV) charging stations faces significant challenges due to the volatility of real-time electricity prices and the uncertainty of charging demand caused by stochastic EV arrivals. Furthermore, the participation degree of station operators is pivotal to the…
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NURBS Values Based on Multi-Objective Particle Swarm Optimization Algorithm for Optimal Power Flow Problem in Power System
The research on Optimal Power Flow (OPF) problems in power systems has undergone significant development, yet a significant gap persists in effectively addressing the multi-objective nature of these problems, particularly within the context of modern power systems characterized by increasing…
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End-to-End Scheduling of Single-Arm Cluster Tools with Multiple Wafer Types
The rapid advancement in circuit manufacturing technology has enabled the reduction in circuit width. Consequently, a single wafer can now accommodate more chips, allowing for smaller lot sizes to meet diverse customer needs. Manufacturers aim to use a single production line to simultaneously…
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Enhanced Artificial Electric Field Algorithm and Its Application in Structural Optimization Problems
Artificial electric field algorithm (AEFA) is a meta-heuristic optimization technique recently developed that has demonstrated efficacy in scientific research and engineering applications. However, it exhibits limitations such as premature convergence jointly with constrained search capability…
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Novel Hybrid Algorithm for Hybrid Flow Shop Scheduling Problem with Sequence-Dependent Setup Time
This paper focuses on the hybrid flow shop scheduling problem with sequence-dependent setup time (HFSP-SDST) with minimizing the makespan. To address this problem, this paper designs a hybrid migrating birds optimization (HMBO) algorithm that integrates migrating birds optimization (MBO) algorithm…
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Visual Perception Robustness: Evolution, Challenges, and Frontiers for Image Restoration under Adverse Road Traffic Conditions
Ensuring robust visual perception under adverse weather conditions is a critical prerequisite for the safety and reliability of autonomous driving systems. Camera-based perception, despite providing rich semantic information, suffers significant degradation in rain, fog, snow, and low-light…
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MOPCGRL: Multi-Objective Procedural Content Generation via Reinforcement Learning
Online content generation enables automatic and adaptive creation of diverse and playable game content for maximizing player experience or testing Artificial Intelligence (AI) algorithms. Multiple diversity metrics have been formulated on different content facets in the literature, while some of…
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Bistatic Echo Simulation Method of Micro-Motion Target with Specular Scattering Conditions
The lack of data is constraining research on the bistatic ballistic target (BT). In the bistatic radar system, the angle between the target axis and the radar line of sight (RLOS) is generally large, which means that the specular scattering center (SSC) is likely to be present with the target’s…
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Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time
As the global economy develops and people’s awareness of environmental protection increases, the efficient scheduling of production lines in workshops has received more and more attention. However, there is very little research focusing on distributed scheduling for heterogeneous factories. This…
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Operational Characteristics Simulation for Off-Grid Hydrogen Production System with Wind-Solar Power Generation
Hydrogen production from wind-solar generation is of great importance for consuming renewable energy and it is meeting industrial hydrogen demand. In this paper, the modelling of the off-grid hydrogen production system from wind-solar generation and the simulation of its operating characteristics…
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Synchronization in Memristive Small-World Neural Networks Under Electromagnetic Radiation
The human brain is composed of a large number of neurons that work together to process the generation, transmission, reception, and processing of information. The topological structure of the human brain has small-world characteristics, and the synchronization and neuron firing are influenced by…