Výsledky vyhledávání - Hyper-heuristic optimization algorithm

  1. 1

    LLMOA: A novel large language model assisted hyper-heuristic optimization algorithm Autor Zhong, Rui, Hussien, Abdelazim G., Yu, Jun, Munetomo, Masaharu

    ISSN: 1474-0346, 1873-5320
    Vydáno: Elsevier Ltd 01.03.2025
    Vydáno v Advanced engineering informatics (01.03.2025)
    “…This work presents a novel approach, the large language model assisted hyper-heuristic optimization algorithm (LLMOA…”
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  2. 2

    An interpretable dual-output multivariate wind speed interval prediction scheme using hyper-heuristic optimization algorithm and deep neural networks Autor Lv, Mengzheng, Wang, Jianzhou, Wang, Shuai, Zhao, Yang, Gao, Jialu, Qian, Yuansheng

    ISSN: 1568-4946
    Vydáno: Elsevier B.V 01.12.2025
    Vydáno v Applied soft computing (01.12.2025)
    “…) that utilizes a hyper-heuristic optimization algorithm and a deep neural network is proposed, along with a novel loss function for training…”
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  3. 3

    A particle swarm optimization based hyper-heuristic algorithm for the classic resource constrained project scheduling problem Autor Koulinas, Georgios, Kotsikas, Lazaros, Anagnostopoulos, Konstantinos

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.09.2014
    Vydáno v Information sciences (01.09.2014)
    “… In this paper, we propose a particle swarm optimization (PSO) based hyper-heuristic algorithm for solving the resource constrained project scheduling problem (RCPSP…”
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  4. 4

    A hybrid hyper-heuristic whale optimization algorithm for reusable launch vehicle reentry trajectory optimization Autor Su, Ya, Dai, Ying, Liu, Yi

    ISSN: 1270-9638, 1626-3219
    Vydáno: Elsevier Masson SAS 01.12.2021
    Vydáno v Aerospace science and technology (01.12.2021)
    “… The method combines the strong robustness and global optimization properties of hyper-heuristic whale optimization algorithm (HHWOA…”
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    A new index‐based hyperheuristic algorithm for global optimisation problems Autor Hasanzadeh, Mohammad Reza, Keynia, Farshid, Hashemipour, Maliheh

    ISSN: 1751-8806, 1751-8814
    Vydáno: Wiley 01.10.2022
    Vydáno v IET software (01.10.2022)
    “…In this research study, a new combination search algorithm, based on indexing its constituent processes, is proposed to solve global optimisation problems…”
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  6. 6

    Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors Autor Zhong, Rui, Zhang, Enzhi, Munetomo, Masaharu

    ISSN: 0920-8542, 1573-0484
    Vydáno: New York Springer US 01.06.2024
    Vydáno v The Journal of supercomputing (01.06.2024)
    “…This paper proposes a novel hyper-heuristic algorithm termed evolutionary multi-mode slime mold optimization (EMSMO…”
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  7. 7

    Surrogate Ensemble-Assisted Hyper-Heuristic Algorithm for Expensive Optimization Problems Autor Zhong, Rui, Yu, Jun, Zhang, Chao, Munetomo, Masaharu

    ISSN: 1875-6883, 1875-6883
    Vydáno: Dordrecht Springer Netherlands 26.10.2023
    “…This paper proposes a novel surrogate ensemble-assisted hyper-heuristic algorithm (SEA-HHA…”
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  8. 8

    A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems Autor Yin, Shihong, Xiang, Zhengrong

    ISSN: 0957-4174
    Vydáno: Elsevier Ltd 05.12.2024
    Vydáno v Expert systems with applications (05.12.2024)
    “…This paper proposes a hyper-heuristic evolutionary algorithm via proximal policy optimization, named HHEA-PPO, for solving multi-objective truss optimization problems…”
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  9. 9

    A genetic programming hyper-heuristic with whale optimization algorithm for the dynamic resource-constrained multi-project scheduling problems Autor Chao, Yutong, Zhuang, Cunbo, Guo, Haoxin, Liu, Jianhua

    ISSN: 0957-4174
    Vydáno: Elsevier Ltd 01.01.2026
    Vydáno v Expert systems with applications (01.01.2026)
    “…). While traditional genetic programming hyper-heuristic (GPHH) algorithms struggle with large-scale problems, we propose an enhanced algorithm, GPHH-WOA, which integrates the whale optimization algorithm (WOA…”
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  10. 10

    DEA2H2: differential evolution architecture based adaptive hyper-heuristic algorithm for continuous optimization Autor Zhong, Rui, Yu, Jun

    ISSN: 1386-7857, 1573-7543
    Vydáno: New York Springer US 01.12.2024
    Vydáno v Cluster computing (01.12.2024)
    “… ) for solving continuous optimization tasks. A representative hyper-heuristic algorithm consists of two main components…”
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    A novel evolutionary status guided hyper-heuristic algorithm for continuous optimization Autor Zhong, Rui, Yu, Jun

    ISSN: 1386-7857, 1573-7543
    Vydáno: New York Springer US 01.12.2024
    Vydáno v Cluster computing (01.12.2024)
    “…This paper proposes a novel evolutionary status guided hyper-heuristic algorithm named ES-HHA for continuous optimization…”
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  12. 12

    A hyper-heuristic optimization multi-task allocation in mobile crowdsensing based on inherent attributes Autor Cao, Heng, Yu, Yantao, Liu, Guojin, Wu, Yucheng

    ISSN: 1570-8705
    Vydáno: Elsevier B.V 01.03.2025
    Vydáno v Ad hoc networks (01.03.2025)
    “…Task allocation is a critical issue in mobile crowdsensing (MCS) that significantly impacts the overall sensing quality of the system. However, previous…”
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    Hyper Heuristic Memetic-Algorithm Based Optimization of Solar Photovoltaic Systems Autor Deshmukh, Rajesh Keshavrao, Shrivastav, Mohit

    ISSN: 2267-1242, 2555-0403, 2267-1242
    Vydáno: Les Ulis EDP Sciences 01.01.2024
    Vydáno v E3S web of conferences (01.01.2024)
    “…) with an increase in output power. In this study, Hyper-Heuristic Memetic Optimization (HHMO) technique for MPPT is introduced…”
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    Comparitive Study of Intrusion Detection Using Hyper Heuristic Improved Particle Swarm Optimization and Hyper Heuristic Firefly Algorithm Based Convolutional Neural Network Autor Aswanandini, R.

    Vydáno: IEEE 12.12.2024
    “… The Hyper-Heuristic Improved Particle Swarm Optimization (HHIPSO) methodology is developed for optimizing the multi-objective problem of SVM…”
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    A hyper-heuristic for improving the initial population of whale optimization algorithm Autor Elaziz, Mohamed Abd, Mirjalili, Seyedali

    ISSN: 0950-7051, 1872-7409
    Vydáno: Amsterdam Elsevier B.V 15.05.2019
    Vydáno v Knowledge-based systems (15.05.2019)
    “…This paper improves the performance of the recently-proposed Whale Optimization Algorithm (WOA…”
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    Evolutionary Algorithm-Based Iterated Local Search Hyper-Heuristic for Combinatorial Optimization Problems Autor Adubi, Stephen A., Oladipupo, Olufunke O., Olugbara, Oludayo O.

    ISSN: 1999-4893, 1999-4893
    Vydáno: Basel MDPI AG 01.11.2022
    Vydáno v Algorithms (01.11.2022)
    “…Hyper-heuristics are widely used for solving numerous complex computational search problems because of their intrinsic capability to generalize across problem domains…”
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  18. 18

    A Study on Container Storage Optimization in Yards Based on a Hyper-Heuristic Algorithm with a Q-Learning Mechanism Autor Chen, Lifen, Lin, Jiajun, Xu, Shihao

    ISSN: 1875-6883, 1875-6891, 1875-6883
    Vydáno: Dordrecht Springer Netherlands 30.06.2025
    “… Both heuristic algorithms and hyper-heuristic algorithms are employed to optimize…”
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    A hyper-heuristic algorithm-based automatic monorail shuttle system for material feeding optimization in mixed-model assembly lines Autor Zhou, Binghai, Zhao, Lingwei

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2024
    Vydáno v Soft computing (Berlin, Germany) (01.02.2024)
    “…In recent years, the automotive industry has witnessed the increasing adoption of mixed-model assembly lines (MMALs) to meet the demands of mass customization…”
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    An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications Autor Ahmed, Bestoun S., Enoiu, Eduard, Afzal, Wasif, Zamli, Kamal Z.

    ISSN: 1432-7643, 1433-7479, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2020
    Vydáno v Soft computing (Berlin, Germany) (01.09.2020)
    “…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems…”
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