Výsledky vyhledávání - "dynamic multi-objective evolutionary algorithms"

  1. 1

    Dynamic multi-objective evolutionary algorithms in noisy environments Autor Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.07.2023
    Vydáno v Information sciences (01.07.2023)
    “…Real-world multi-objective optimization problems encounter different types of uncertainty that may affect the quality of solutions. One common type is the…”
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    Journal Article
  2. 2

    Dynamic multi-objective evolutionary algorithms for single-objective optimization Autor Jiao, Ruwang, Zeng, Sanyou, Alkasassbeh, Jawdat S., Li, Changhe

    ISSN: 1568-4946, 1872-9681
    Vydáno: Elsevier B.V 01.12.2017
    Vydáno v Applied soft computing (01.12.2017)
    “…). The method converts a SOP to an equivalent dynamic multi-objective optimization problem (DMOP). A new dynamic multi-objective evolutionary algorithm…”
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    Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms Autor Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

    ISSN: 1568-4946, 1872-9681
    Vydáno: Elsevier B.V 01.12.2019
    Vydáno v Applied soft computing (01.12.2019)
    “…Characterization of dynamism is an essential phase for some of the dynamic multi-objective evolutionary algorithms (DMOEAs…”
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  4. 4

    Dynamic Multi-Objective Evolutionary Algorithms: An Overview Autor Guerrero-Peña, Elaine, Araújo, Aluízio, Garrozi, Cícero

    ISSN: 1676-2789, 1676-2789
    Vydáno: 31.12.2023
    Vydáno v Learning and nonlinear models (31.12.2023)
    “…Evolutionary algorithms have been widely explored and applied in optimization problems. The introduction of multi-objective evolutionary algorithms (MOEAs) has…”
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  5. 5

    A general framework based on dynamic multi-objective evolutionary algorithms for handling feature drifts on data streams Autor Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

    ISSN: 0167-739X, 1872-7115
    Vydáno: Elsevier B.V 01.01.2020
    Vydáno v Future generation computer systems (01.01.2020)
    “… The first building block of the framework is a dynamic multi-objective evolutionary algorithm called Dynamic Filter-Based Feature Selection (DFBFS…”
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    Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms Autor Liu, Feng, Fang, Kan, Tang, Jiafu, Yin, Yong

    ISSN: 2096-2320, 2589-5532
    Vydáno: Elsevier B.V 01.03.2022
    “…Today's volatile market conditions in electronic industries have lead to a new production system, seru (which is the Japanese pronunciation for cell), and has…”
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    Journal Article
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    Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing Autor Ismayilov, Goshgar, Topcuoglu, Haluk Rahmi

    ISSN: 0167-739X, 1872-7115
    Vydáno: Elsevier B.V 01.01.2020
    Vydáno v Future generation computer systems (01.01.2020)
    “…Workflow scheduling is a largely studied research topic in cloud computing, which targets to utilize cloud resources for workflow tasks by considering the…”
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    Dynamic multi-objective optimization algorithm based decomposition and preference Autor Hu, Yaru, Zheng, Jinhua, Zou, Juan, Jiang, Shouyong, Yang, Shengxiang

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.09.2021
    Vydáno v Information sciences (01.09.2021)
    “…Most of the existing dynamic multi-objective evolutionary algorithms (DMOEAs) are effective, which focuses on searching for the approximation of Pareto-optimal front (POF…”
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  9. 9

    Dynamic multi-objective workflow scheduling for combined resources in cloud Autor Zhang, Yan, Wu, Linjie, Li, Mengxia, Zhao, Tianhao, Cai, Xingjuan

    ISSN: 1569-190X
    Vydáno: Elsevier B.V 01.12.2023
    “…Cloud resource providers offer idle resources to users as spot instances. The price of the instances changes with market supply and demand, and the dynamic…”
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  10. 10

    Preference Integration in Progressive Dynamic Multi-Objective Evolutionary Algorithms Autor Newton, David William

    ISBN: 9798582591832
    Vydáno: ProQuest Dissertations & Theses 01.01.2017
    “… Dynamic multi-objective evolutionary algorithms (DMOEAs) provide an efficient and effective means to address these problems, but the majority of research in this area…”
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    Dissertation
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    Memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem Autor Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

    Vydáno: IEEE 01.07.2020
    “… We utilize a dynamic multi-objective evolutionary algorithm to continuously search for the updated set of relevant features after the occurrence of every change in the environment…”
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    Konferenční příspěvek
  12. 12

    Modeling an agent-based cooperative dynamic behavior in an uncertain context of SME's sustainable supply chain Autor Ben Mekki, Aicha, Tounsi, Jihene, Said, Lamjed Ben

    Vydáno: IEEE 01.02.2020
    “…by drawing upon the concept of competitiveness and the dynamism of the environment, a knowledge base model is developed to design the behavior of autonomous…”
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    Konferenční příspěvek
  13. 13

    Dynamic multi-objective evolutionary algorithm based on knowledge transfer Autor Wu, Linjie, Wu, Di, Zhao, Tianhao, Cai, Xingjuan, Xie, Liping

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.07.2023
    Vydáno v Information sciences (01.07.2023)
    “… However, if all individuals are transferred, they may experience negative transfers. Therefore, this paper proposes a novel knowledge transfer method for the dynamic multi-objective evolutionary algorithm (T-DMOEA…”
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  14. 14

    A dynamic multi-objective evolutionary algorithm based on intensity of environmental change Autor Hu, Yaru, Zheng, Jinhua, Zou, Juan, Yang, Shengxiang, Ou, Junwei, Wang, Rui

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.06.2020
    Vydáno v Information sciences (01.06.2020)
    “…•This paper introduced U-test mechanism to test decision variable and market them into macro-changing decision and micro-changing decision.•An effective update…”
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    A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy Autor Azzouz, Radhia, Bechikh, Slim, Said, Lamjed Ben

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2017
    Vydáno v Soft computing (Berlin, Germany) (01.02.2017)
    “…In addition to the need for simultaneously optimizing several competing objectives, many real-world problems are also dynamic in nature. These problems are…”
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    A dynamic multi-objective evolutionary algorithm based on Mahalanobis distance and intra-cluster individual correlation rectification Autor Ge, Fangzhen, Hou, Xing, Chen, Debao, Shen, Longfeng, Liu, Huaiyu

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.09.2024
    Vydáno v Information sciences (01.09.2024)
    “…). Although many dynamic multi-objective evolutionary algorithms (DMOEAs) have demonstrated impressive performance, there is still room for improvement in accurately predicting population behavior…”
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    A dynamic multi-objective evolutionary algorithm based on gene sequencing and gene editing Autor Yang, Yue, Ma, Yongjie, Wang, Minghao, Wang, Peidi

    ISSN: 0020-0255
    Vydáno: Elsevier Inc 01.10.2023
    Vydáno v Information sciences (01.10.2023)
    “… Inspired by the fact that gene sequencing can discover biological gene defects, this paper proposes a dynamic multi-objective evolutionary algorithm based on gene sequencing and gene editing (GSGE…”
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    Antenna design using dynamic multi-objective evolutionary algorithm Autor Jiao, Ruwang, Sun, Yongzhi, Sun, Jianqing, Jiang, Yuhong, Zeng, Sanyou

    ISSN: 1751-8725, 1751-8733
    Vydáno: The Institution of Engineering and Technology 31.10.2018
    “…To enhance the robustness and stability of the antenna design, a novel methodology is presented for modelling the antenna design problem as the constrained…”
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    A self-evolving fuzzy system online prediction-based dynamic multi-objective evolutionary algorithm Autor Sun, Jing, Gan, Xingjia, Gong, Dunwei, Tang, Xiaoke, Dai, Hongwei, Zhong, Zhaoman

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.10.2022
    Vydáno v Information sciences (01.10.2022)
    “… However, the previous dynamic multi-objective evolutionary algorithms usually use linear prediction models to generate the initial population in the new environment, and some nonlinear prediction…”
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