Výsledky vyhledávání - "Dynamic multi-objective optimisation algorithm"

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  1. 1

    Dynamic demand-responsive transit scheduling with time-dependent travel times: A joint supply and demand management approach Autor Wu, Weitiao, Zhang, Zeyue, Lu, Kai, Ren, Jingxuan

    ISSN: 1366-5545
    Vydáno: Elsevier Ltd 01.10.2025
    “…•A joint supply and demand management approach to demand-responsive transit services.•Consider time-dependent travel times and path flexibility.•An…”
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    Journal Article
  2. 2

    Dynamic multi-objective optimization algorithm based on incremental Gaussian mixture model Autor Xia, Xuewen, Zeng, Yi, Xu, Xing, Zhang, Yinglong

    ISSN: 2210-6502
    Vydáno: Elsevier B.V 01.10.2025
    Vydáno v Swarm and evolutionary computation (01.10.2025)
    “…In recent years, prediction-based algorithms have made significant progress in solving dynamic multi-objective optimization problems (DMOPs). However, most…”
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  3. 3

    A Centroid Guided Cluster Transformation for Dynamic Multi-Objective Optimization Algorithm Autor Zeng, Yi, Xia, Xuewen, Lin, Fenglin, Zhang, Yuehui, Liu, Meitong

    Vydáno: IEEE 08.06.2025
    “…In recent years, prediction-based algorithms have made significant progress in solving dynamic multi-objective optimization problems (DMOPs). However, most…”
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  4. 4

    A novel population robustness-based switching response framework for solving dynamic multi-objective problems Autor Li, Han, Fang, Zheng, Hu, Liwei, Liu, Haonan, Wu, Peishu, Zeng, Nianyin

    ISSN: 0925-2312, 1872-8286
    Vydáno: Elsevier B.V 28.05.2024
    Vydáno v Neurocomputing (Amsterdam) (28.05.2024)
    “…In this paper, a novel population robustness-based switching response framework (PR-SRF) is proposed to develop effective dynamic multi-objective optimization…”
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  5. 5

    Population-based metaheuristics for continuous boundary-constrained dynamic multi-objective optimisation problems Autor Helbig, Mardé, Engelbrecht, Andries P.

    ISSN: 2210-6502
    Vydáno: Elsevier B.V 01.02.2014
    Vydáno v Swarm and evolutionary computation (01.02.2014)
    “…Most real-world optimisation problems are dynamic in nature with more than one objective, where at least two of these objectives are in conflict with one…”
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