Suchergebnisse - "Multi-objective evolution algorithm"

Multi-task multi-objective evolutionary network for hyperspectral image classification and pansharpening von Wu, Xiande, Feng, Jie, Shang, Ronghua, Wu, JinJian, Zhang, Xiangrong, Jiao, Licheng, Gamba, Paolo

“… •A multi-task multi-objective evolutionary network is proposed.•The framework combines two tasks by effective high-frequency information sharing.•Multi-task …”
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An evolutionary algorithm with clustering-based selection strategies for multi-objective optimization von Zhou, Shenghao, Mo, Xiaomei, Wang, Zidong, Li, Qi, Chen, Tianxiang, Zheng, Yujun, Sheng, Weiguo

“… This paper proposes an evolutionary algorithm with clustering-based selection strategies to deal with multi-objective optimization problems. In the proposed …”
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Balanced multi-objective evolution algorithm for unmanned systems project scheduling with preventive maintenance and order grouping constraints von Zhou, Xin, Ling, Guodong, Yu, Jiayi, Zhou, Tian, Wang, Rui

“… With the growing deployment of unmanned systems in multi-platform operations, intelligent scheduling has become increasingly critical. These systems are …”
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Disease biomarker identification based on sample network optimization von Wei, Pi-Jing, Ma, Wenwen, Li, Yanxin, Su, Yansen

“… •We propose the multi-objective evolution algorithm for identifying biomarkers (MOESIB) to identify disease biomarker based on sample similarity networks, …”
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The optimal grouting area and cable distribution design for guaranteeing roadway stability while considering fluid mechanical effects via the CMOEAD algorithm von Li, Peng, Guo, Yinghai, Cheng, Yinghao, Zhang, Jiaming

“… Water inrush in roadways frequently occurs in coal mines when the rock mass is enriched with underground water. To avoid underground water flow into the …”
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Security-Enhanced Filter Design for Stochastic Systems under Malicious Attack via Smoothed Signal Model and Multiobjective Estimation Method von Chen, Bor-Sen, Lee, Min-Yen, Chen, Xin-Hong

“… In this study, a novel security-enhanced filter (SEF) is proposed for the system state and malicious attack signal estimation of the stochastic jump-diffusion …”
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多目标混合流水车间调度问题求解算法 von 王静云, 王雷, 蔡劲草, 李佳路, 苏学满

“… TP18; 针对多目标不相关并行机混合流水车间调度问题,建立以最小化最大完工时间、机器总能耗和机器加工成本为目标的多目标数学模型.提出一种改进的基于分解的多目标进化算 …”
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Optimal control of a two-phase heterogeneous service retrial queueing system with collisions and delayed vacations von Xu, Wei, Li, Linhong, Fan, Wentao, Liu, Liwei

“… This paper proposes a novel two-phase heterogeneous service retrial queueing system with collisions and delayed vacations. We consider services for two types …”
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Multi-objective medical supplies distribution open vehicle routing problem with fairness and timeliness under major public health emergencies von Zheng, Fanfan, Du, Lijing, Li, Xiaohuan, Zhang, Jianna, Tian, Bingwei, Jallad, Ra’fat

“… Fair and timely delivery of supplies plays a critical role under major public health emergencies. In this paper, aiming at fairness and timeliness, an …”
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多目标进化算法在等时性固定场交变梯度加速器物理设计中的应用研究 von 边天剑, 张天爵, 李明, 安世忠, 王川

“… TL501.5; 由于等时性固定场交变梯度加速器具有连续束、强聚焦等优点,逐渐成为研究热点.等时性固定场交变梯度加速器的物理设计问题可归结为具有多个设计目标、可调节变量与条 …”
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Research on trajectory optimization of Delta robot in food production lines based on improved MOEA/D algorithm von ZHU Hui, ZHAO Shufeng, LI Rucheng, LIU Fei

“… ObjectiveBy optimizing the sorting trajectory of Delta robots, while ensuring sorting accuracy, this paper aims to reduce comprehensive energy consumption, …”
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A Multiple Model Approach for Flood Forecasting, Simulation, and Evaluation Coupling in Zhouqu County von Li, Yongfeng, Liu, Yi, Liu, Xiaoming, Shen, Chao

“… Flood disasters are considered to be one of the ten natural disasters that threaten the survival of mankind. They occur frequently and have a serious impact on …”
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An effective L-MONG algorithm for solving multi-objective flow-shop inverse scheduling problems von Mou, Jianhui, Li, Xinyu, Gao, Liang, Yi, Wenchao

“… Generally, in handling traditional scheduling problems, ideal manufacturing system environments are assumed before determining effective scheduling …”
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Reverse-Order Multi-Objective Evolution Algorithm for Multi-Objective Observer-Based Fault-Tolerant Control of T-S Fuzzy Systems von Chen, Bor-Sen, Lee, Min-Yen, Chen, Wei-Yu, Zhang, Weihai

“… In this study, a multi-objective <inline-formula> <tex-math notation="LaTeX">H_{2}/H_{\infty } </tex-math></inline-formula> observer-based fault-tolerant …”
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Portfolio optimization under solvency II: a multi-objective approach incorporating market views and real-world constraints von Di Francesco, Marco

“… We propose a new approach to handle the problem of portfolio optimization for non-life insurance company incorporating the solvency capital requirement (SCR), …”
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Constraint multi-objective automated synthesis for CMOS operational amplifier von Tao, Jili, Fan, Qinru, Chen, Xiaoming, Zhu, Yong

“… A multi-objective evolution algorithm (MOEA) is presented to automatically determine the parameters in Op-Amp synthesis where the cost functions (e.g., …”
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Research on Project Scheduling Problems and Project Management Systems for Product Development von Zhang, Liwan

“… In today's rapidly changing business environment, the success of a product development project often depends on its ability to quickly adapt to market changes …”
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An improved NSGA-II to solve multi-objective optimization problem von Yaping Fu, Min Huang, Hongfeng Wang, Guanjie Jiang

“… NSGA-II(nondominated sorting genetic algorithm II) is a popular multi-objective evolution algorithm (MOEA), which applies binary tournament selection, elitist …”
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LQ evolution algorithm optimizer for model predictive control at model uncertainty von Osman, Haitham

“… This paper presents an evolution algorithm as a powerful optimisation technique for tuning Model Based Predictive Control (MBPC) at the implications of …”
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Node Distribution Optimization in Mobile Sensor Network Based on Multi-Objective Differential Evolution Algorithm von Lizhong Jin, Jie Jia, Dawei Sun

“… In the research on mobile sensor networks, coverage control is one of the most important challenges. For the sensor network constructed by random distribution, …”
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