Search Results - "Complex System Modeling and Simulation"

A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling by Wang, Ling, Pan, Zixiao, Wang, Jingjing

“…As the critical component of manufacturing systems, production scheduling aims to optimize objectives in terms of profit, efficiency, and energy consumption by…”
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Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm by Han, Xue, Han, Yuyan, Chen, Qingda, Li, Junqing, Sang, Hongyan, Liu, Yiping, Pan, Quanke, Nojima, Yusuke

“…To meet the multi-cooperation production demand of enterprises, the distributed permutation flow shop scheduling problem (DPFSP) has become the frontier…”
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A Novel Cooperative Multi-Stage Hyper-Heuristic for Combination Optimization Problems by Zhao, Fuqing, Di, Shilu, Cao, Jie, Tang, Jianxin, Jonrinaldi

“…A hyper-heuristic algorithm is a general solution framework that adaptively selects the optimizer to address complex problems. A classical hyper-heuristic…”
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Nonlinear Equations Solving with Intelligent Optimization Algorithms: A Survey by Gong, Wenyin, Liao, Zuowen, Mi, Xianyan, Wang, Ling, Guo, Yuanyuan

“…Nonlinear Equations (NEs), which may usually have multiple roots, are ubiquitous in diverse fields. One of the main purposes of solving NEs is to locate as…”
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A Multi-Objective Scheduling and Routing Problem for Home Health Care Services via Brain Storm Optimization by Ma, Xiaomeng, Fu, Yaping, Gao, Kaizhou, Zhu, Lihua, Sadollah, Ali

“…At present, home health care (HHC) has been accepted as an effective method for handling the healthcare problems of the elderly. The HHC scheduling and routing…”
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Review of Dynamic Task Allocation Methods for UAV Swarms Oriented to Ground Targets by Peng, Qiang, Wu, Husheng, Xue, Ruisong

“…Dynamic task allocation of unmanned aerial vehicle swarms for ground targets is an important part of unmanned aerial vehicle (UAV) swarms task planning and the…”
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Q-Learning-Based Teaching-Learning Optimization for Distributed Two-Stage Hybrid Flow Shop Scheduling with Fuzzy Processing Time by Xi, Bingjie, Lei, Deming

“…Two-stage hybrid flow shop scheduling has been extensively considered in single-factory settings. However, the distributed two-stage hybrid flow shop…”
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Solving Nonlinear Equations Systems with an Enhanced Reinforcement Learning Based Differential Evolution by Liao, Zuowen, Li, Shuijia

“…Nonlinear equations systems (NESs) arise in a wide range of domains. Solving NESs requires the algorithm to locate multiple roots simultaneously. To deal with…”
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Robust Electric Vehicle Routing Problem with Time Windows under Demand Uncertainty and Weight-Related Energy Consumption by Shen, Yindong, Yu, Leqin, Li, Jingpeng

“…Vehicle routing problem with time windows (VRPTW) is a core combinatorial optimization problem in distribution tasks. The electric vehicle routing problem with…”
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Multi-UAV Cooperative Trajectory Planning Based on Many-Objective Evolutionary Algorithm by Bai, Hui, Fan, Tian, Niu, Yuan, Cui, Zhihua

“…The trajectory planning of multiple unmanned aerial vehicles (UAVs) is the core of efficient UAV mission execution. Existing studies have mainly transformed…”
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Energy-Efficient Multi-Trip Routing for Municipal Solid Waste Collection by Contribution-Based Adaptive Particle Swarm Optimization by Shen, Xiaoning, Pan, Hongli, Ge, Zhongpei, Chen, Wenyan, Song, Liyan, Wang, Shuo

“…Waste collection is an important part of waste management system. Transportation costs and carbon emissions can be greatly reduced by proper vehicle routing…”
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Public Opinion Dissemination with Incomplete Information on Social Network: A Study Based on the Infectious Diseases Model and Game Theory by Wu, Bin, Yuan, Ting, Qi, Yuqing, Dong, Min

“…Given the fragmentation of public opinion dissemination and the lag of network users’ cognition, the paper analyzes public opinion dissemination with…”
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Digital Twin Implementation of Autonomous Planning Arc Welding Robot System by Wang, Xuewu, Hua, Yi, Gao, Jin, Lin, Zongjie, Yu, Rui

“…Industrial robots are currently applied for ship sub-assembly welding to replace welding workers because of the intelligent production and cost savings. In…”
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Multidirection Update-Based Multiobjective Particle Swarm Optimization for Mixed No-Idle Flow-Shop Scheduling Problem by Zhang, Wenqiang, Hou, Wenlin, Li, Chen, Yang, Weidong, Gen, Mitsuo

“…The Mixed No-Idle Flow-shop Scheduling Problem (MNIFSP) is an extension of flow-shop scheduling, which has practical significance and application prospects in…”
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Low-Carbon Routing Based on Improved Artificial Bee Colony Algorithm for Electric Trackless Rubber-Tyred Vehicles by Guo, Yinan, Huang, Yao, Ge, Shirong, Zhang, Yizhe, Jiang, Ersong, Cheng, Bin, Yang, Shengxiang

“…Trackless rubber-tyerd vehicles are the core equipment for auxiliary transportation in inclined-shaft coal mines, and the rationality of their routes plays the…”
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A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity by Wang, Fuquan, Fu, Yaping, Gao, Kaizhou, Wu, Yaoxin, Gao, Song

“…Remanufacturing is regarded as a sustainable manufacturing paradigm of energy conservation and environment protection. To improve the efficiency of the…”
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Intelligent Optimization Under Multiple Factories: Hybrid Flow Shop Scheduling Problem with Blocking Constraints Using an Advanced Iterated Greedy Algorithm by Wang, Yong, Wang, Yuting, Han, Yuyan, Li, Junqing, Gao, Kaizhou, Nojima, Yusuke

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Optimization of Air Defense System Deployment Against Reconnaissance Drone Swarms by Li, Ning, Su, Zhenglian, Ling, Haifeng, Karatas, Mumtaz, Zheng, Yujun

“…Due to their advantages in flexibility, scalability, survivability, and cost-effectiveness, drone swarms have been increasingly used for reconnaissance tasks…”
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Differential Evolution with Level-Based Learning Mechanism by Qiao, Kangjia, Liang, Jing, Qu, Boyang, Yu, Kunjie, Yue, Caitong, Song, Hui

“…To address complex single objective global optimization problems, a new Level-Based Learning Differential Evolution (LBLDE) is developed in this study. In this…”
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Multi-Agent System for Electric Vehicle Charging Scheduling in Parking Lots by Tan, Mao, Zhang, Zhonglin, Ren, Yuling, Richard, Irampaye, Zhang, Yuzhou

“…As the number of electric vehicles (EVs) increases, massive numbers of EVs have started to gather in commercial parking lots to charge and discharge, which may…”
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