Suchergebnisse - Distributed multi-objective optimization problems

  1. 1

    Analytical adaptive distributed multi-objective optimization algorithm for optimal power flow problems von Yin, Linfei, Wang, Tao, Zheng, Baomin

    ISSN: 0360-5442, 1873-6785
    Veröffentlicht: Oxford Elsevier Ltd 01.02.2021
    Veröffentlicht in Energy (Oxford) (01.02.2021)
    “… Therefore, an adaptive interchange objective value method is proposed for distributed multi-objective optimization problems …”
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  2. 2

    Local consensus based multi-objective distributed optimization and its application von Guo, Jieyuan, Shao, Lizhen, Lv, Quanxiu, Liang, Shu

    ISSN: 0167-6911
    Veröffentlicht: Elsevier B.V 01.01.2026
    Veröffentlicht in Systems & control letters (01.01.2026)
    “… Thus it cannot fully reflect the trade-off among the objectives. In this paper, multi-objective distributed convex optimization problems with local optimal consensus in multi-agent systems are studied …”
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  3. 3

    Interchange objective value method for distributed multi-objective optimization: Theory, application, implementation von Yin, Linfei, Wang, Tao, Wang, Senlin, Zheng, Baomin

    ISSN: 0306-2619, 1872-9118
    Veröffentlicht: Elsevier Ltd 01.04.2019
    Veröffentlicht in Applied energy (01.04.2019)
    “… •Distributed multi-objective optimization problem (DMOOP) is solved in this paper …”
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  4. 4

    Distributed neurodynamic algorithm for multi-objective problem optimization and its applications to isolated micro-grid energy management von He, Xing, Liang, Xiaowei, Wang, Hui

    ISSN: 2210-6707, 2210-6715
    Veröffentlicht: Elsevier Ltd 01.07.2021
    Veröffentlicht in Sustainable cities and society (01.07.2021)
    “… •A novel distributed framework is proposed to solve the multi-objective problem.•The whole process is independent for each agent only needs its own information …”
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  5. 5

    Multi-objective optimization for distributed flexible job shop scheduling problem with job priority von He, Ao, Liu, Xiahui, Gong, Guiliang, Yuan, Zhipeng, Huang, Hongbo, Zhou, Yang, Li, Jie

    ISSN: 2210-6502
    Veröffentlicht: Elsevier B.V 01.10.2025
    Veröffentlicht in Swarm and evolutionary computation (01.10.2025)
    “… For the distributed flexible job shop scheduling problem (DFJSP), the existing researches have predominantly focused on operation sequence, machine selection and factory assignment, and assuming that the jobs have no priority …”
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  6. 6

    Graph-based reinforced multi-objective optimization for distributed heterogeneous flexible job shop scheduling problem under nonidentical time-of-use electricity tariffs von Zhang, Qichen, Shao, Weishi, Shao, Zhongshi, Pi, Dechang

    ISSN: 0957-4174
    Veröffentlicht: Elsevier Ltd 25.09.2025
    Veröffentlicht in Expert systems with applications (25.09.2025)
    “… ) model for DHFJSP-NTOU is established. To solve the DHFJSP-NTOU, a graph-reinforced multi-objective optimization algorithm (GRMO …”
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  7. 7

    Distributed Neuro-Dynamic Optimization for Multi-Objective Power Management Problem in Micro-Grid von Liang, Xiaowei, He, Xing, Huang, Tingwen

    ISSN: 0925-2312, 1872-8286
    Veröffentlicht: Elsevier B.V 14.10.2019
    Veröffentlicht in Neurocomputing (Amsterdam) (14.10.2019)
    “… A single-objective product formulation is applied to convert the multi-objective optimization problem into a single-objective optimization problem …”
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  8. 8

    Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint von Fu, Yaping, Tian, Guangdong, Fathollahi-Fard, Amir Mohammad, Ahmadi, Abbas, Zhang, Chaoyong

    ISSN: 0959-6526, 1879-1786
    Veröffentlicht: Elsevier Ltd 20.07.2019
    Veröffentlicht in Journal of cleaner production (20.07.2019)
    “… Recent years have seen a great deal of attention in energy conservation for production and manufacturing activities, particularly for energy-intensive …”
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  9. 9

    Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables von Neumann, Frank, Witt, Carsten

    ISSN: 1530-9304, 1530-9304
    Veröffentlicht: 02.08.2024
    Veröffentlicht in Evolutionary computation (02.08.2024)
    “… Chance constrained optimization problems allow to model problems where constraints involving stochastic components should only be violated with a small probability …”
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  10. 10

    An effective biogeography-based optimization algorithm for multi-objective green scheduling of distributed assembly permutation flowshop scheduling problem von Cheng, Long, Wang, Lei, Cai, Jingcao, Hu, Kongfu, Xiong, Yuan, Xia, Qiangqiang

    ISSN: 0305-0548
    Veröffentlicht: Elsevier Ltd 01.11.2025
    Veröffentlicht in Computers & operations research (01.11.2025)
    “… The distributed assembly permutation flowshop scheduling problem (DAPFSP) plays a crucial role in advancing distributed manufacturing systems (DMS …”
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  11. 11

    Distributed multi-objective grey wolf optimizer for distributed multi-objective economic dispatch of multi-area interconnected power systems von Yin, Linfei, Sun, Zhixiang

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.03.2022
    Veröffentlicht in Applied soft computing (01.03.2022)
    “… This paper introduces the distributed concept into the multi-objective grey wolf optimizer (MOGWO …”
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  12. 12

    A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem von Zhao, Fuqing, Hu, Xiaotong, Wang, Ling, Xu, Tianpeng, Zhu, Ningning, Jonrinaldi

    ISSN: 0020-7543, 1366-588X
    Veröffentlicht: London Taylor & Francis 03.05.2023
    Veröffentlicht in International journal of production research (03.05.2023)
    “… A reinforcement learning-driven brain storm optimisation idea (RLBSO) is proposed in this paper to solve multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem …”
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  13. 13

    A multi-objective brain storm optimization for integrated distributed flexible job shop and distribution problems von Jia, Yanhe, Zhou, Yaoyao, Fu, Yaping

    ISSN: 2405-8440, 2405-8440
    Veröffentlicht: England Elsevier Ltd 30.08.2024
    Veröffentlicht in Heliyon (30.08.2024)
    “… To this end, this study presents an integrated distributed flexible job shop and distribution problem to minimize makespan and total tardiness …”
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  14. 14

    Multi-objective Optimization of the Distributed Permutation Flow Shop Scheduling Problem with Transportation and Eligibility Constraints von Cai, Shuang, Yang, Ke, Liu, Ke

    ISSN: 2194-668X, 2194-6698
    Veröffentlicht: Beijing Operations Research Society of China 01.09.2018
    “… (transportation costs and setup costs). To the best of our knowledge, there is no published work on multi-objective optimization of the DPFSSP with transportation and eligibility constraints …”
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  15. 15

    Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem von Zhang, Wenqiang, Geng, Huili, Li, Chen, Gen, Mitsuo, Zhang, Guohui, Deng, Miaolei

    ISSN: 0956-5515, 1572-8145
    Veröffentlicht: New York Springer US 01.01.2025
    Veröffentlicht in Journal of intelligent manufacturing (01.01.2025)
    “… : job allocating for factories and job sequencing within factories. This paper proposes an efficient Q-learning-based multi-objective particle swarm optimization (QL-MoPSO …”
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  16. 16

    A multi-objective discrete particle swarm optimization method for particle routing in distributed particle filters von Hou, Yun, Hao, Guosheng, Zhang, Yong, Gu, Feng, Xu, Wenyang

    ISSN: 0950-7051, 1872-7409
    Veröffentlicht: Amsterdam Elsevier B.V 15.03.2022
    Veröffentlicht in Knowledge-based systems (15.03.2022)
    “… In the algorithm, the particle routing problem in distributed PFs is modeled as a multi-objective constrained optimization model for the first time …”
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  17. 17

    Distributed multi-objective African vulture accelerated optimization intelligent algorithm for multi-objective economic dispatch of power systems von Yin, Linfei, Ye, Yongzi

    ISSN: 0306-2619
    Veröffentlicht: Elsevier Ltd 15.11.2025
    Veröffentlicht in Applied energy (15.11.2025)
    “… Although distributed multi-objective optimization methods are more convenient in solving large-scale systems, distributed multi-objective optimization methods still have shortcomings …”
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  18. 18

    Multi-objective optimization-based workflow scheduling for applications with data locality and deadline constraints in geo-distributed clouds von Wu, Dongkuo, Wang, Xingwei, Wang, Xueyi, Huang, Min, Zeng, Rongfei, Yang, Kaiqi

    ISSN: 0167-739X, 1872-7115
    Veröffentlicht: Elsevier B.V 01.08.2024
    Veröffentlicht in Future generation computer systems (01.08.2024)
    “… In this paper, we model the constrained multi-objective workflow scheduling problem (CMWSP) in geo-distributed clouds as a constrained multi-objective optimization problem that minimizes …”
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  19. 19

    A Distributed Bi-Behaviors Crow Search Algorithm for Dynamic Multi-Objective Optimization and Many-Objective Optimization Problems von Aboud, Ahlem, Rokbani, Nizar, Neji, Bilel, Al Barakeh, Zaher Al, Mirjalili, Seyedali, Alimi, Adel M.

    ISSN: 2076-3417, 2076-3417
    Veröffentlicht: Multidisciplinary digital publishing institute (MDPI) 01.10.2022
    Veröffentlicht in Applied sciences (01.10.2022)
    “… Dynamic Multi-Objective Optimization Problems (DMOPs) and Many-Objective Optimization Problems (MaOPs …”
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  20. 20

    Optimal placement of distribution network‐connected microgrids on multiobjective energy management with uncertainty using the modified Harris Hawk optimization algorithm von Poshtyafteh, Marzieh, Barati, Hassan, Falehi, Ali Darvish

    ISSN: 1751-8687, 1751-8695
    Veröffentlicht: Wiley 01.02.2024
    Veröffentlicht in IET generation, transmission & distribution (01.02.2024)
    “… To design the multiobjective optimization problem, a fuzzy method has been adopted for simultaneous multi …”
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