Search Results - "Multifactorial evolution algorithm"

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  1. 1

    A parametric segmented multifactorial evolutionary algorithm based on a three-phase analysis by Chai, Peihua, Cao, Langcai, Xu, Ridong, Zeng, Yifeng

    ISSN: 0924-669X, 1573-7497
    Published: New York Springer US 01.11.2023
    “…Evolutionary multitasking optimization, which concentrates on solving multiple tasks simultaneously, has been a core area of interest for researchers in recent…”
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    Journal Article
  2. 2

    A Three-Layered Multifactorial Evolutionary Algorithm with Parallelization for Large-Scale Engraving Path Planning by Liang, Antian, Yang, Hanshi, Sun, Liming, Sun, Meng

    ISSN: 2079-9292, 2079-9292
    Published: Basel MDPI AG 01.06.2022
    Published in Electronics (Basel) (01.06.2022)
    “…Today, although laser engraving technology is widely used in 2D image engraving, when the image is larger and more complicated, most existing algorithms for…”
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    Journal Article
  3. 3

    Multitask Augmented Random Search in deep reinforcement learning by Thanh, Le Tien, Thang, Ta Bao, Cuong, Le Van, Binh, Huynh Thi Thanh

    ISSN: 1568-4946, 1872-9681
    Published: Elsevier B.V 01.07.2024
    Published in Applied soft computing (01.07.2024)
    “…Reinforcement Learning (RL) has gained significant popularity in recent years for its ability to solve complex control problems. However, most existing RL…”
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    Journal Article
  4. 4

    A modified multifactorial differential evolution algorithm with optima-based transformation by Shi, Lingyi, Hu, Zhongbo, Su, Qinghua, Miao, Yongfei

    ISSN: 0924-669X, 1573-7497
    Published: New York Springer US 01.02.2023
    “…Multifactorial evolution algorithm (MFEA) is a powerful search paradigm with the purpose of addressing multiple optimization tasks simultaneously in the field of evolutionary computation…”
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    Journal Article
  5. 5

    Surrogate-Assisted Task Selection for Evolutionary Multitasking Optimization by Huang, Kaiyuan, Wang, Xiaojun, Cai, Yiqiao

    Published: IEEE 10.06.2022
    “…In the evolution algorithm, evolutionary multi-task optimization (EMTO) is recently proposed as a novel optimization paradigm for simultaneously solving…”
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    Conference Proceeding
  6. 6

    Multi-objectives design optimization based on multi-objectives Gaussian processes for System-in-Package by Dai, Weijing, Wang, Zhenkun, Xue, Ke

    ISSN: 2377-5726
    Published: IEEE 01.06.2021
    “…Since electronic devices based on System-in-Package technologies become sophisticated, the number of components and the complexity of internal structure of…”
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    Conference Proceeding