Výsledky vyhľadávania - many-objective evolution optimization algorithm

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    DLEA: A dynamic learning evolution algorithm for many-objective optimization Autor Li, Gui, Wang, Gai-Ge, Dong, Junyu, Yeh, Wei-Chang, Li, Keqin

    ISSN: 0020-0255, 1872-6291
    Vydavateľské údaje: Elsevier Inc 01.10.2021
    Vydané v Information sciences (01.10.2021)
    “… In addition, a dynamic learning strategy based many-objective evolutionary algorithm (MaOEA) is proposed, called dynamic learning evolution algorithm…”
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    An Algorithm for Many-Objective Optimization With Reduced Objective Computations: A Study in Differential Evolution Autor Bandyopadhyay, Sanghamitra, Mukherjee, Arpan

    ISSN: 1089-778X, 1941-0026
    Vydavateľské údaje: New York IEEE 01.06.2015
    “…In this paper we have developed an algorithm for many-objective optimization problems, which will work more quickly than existing ones, while offering competitive performance…”
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    DECOR: Differential Evolution using Clustering based Objective Reduction for many-objective optimization Autor Pal, Monalisa, Saha, Sriparna, Bandyopadhyay, Sanghamitra

    ISSN: 0020-0255, 1872-6291
    Vydavateľské údaje: Elsevier Inc 01.01.2018
    Vydané v Information sciences (01.01.2018)
    “… This work proposes a novel many-objective optimization algorithm, viz. Differential Evolution using Clustering based Objective Reduction (DECOR…”
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    RODE: Ranking-Dominance-Based Algorithm for Many-Objective Optimization with Opposition-Based Differential Evolution Autor Qasim, Syed Zaffar, Ismail, Muhammad Ali

    ISSN: 2193-567X, 2191-4281
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020
    “… In this paper, we present the RODE algorithm as a novel scalable approach for many-objective problems which adopts the ranking-dominance relation for evaluating the fitness of solutions that provides…”
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    Evolution algorithm with adaptive genetic operator and dynamic scoring mechanism for large-scale sparse many-objective optimization Autor Wang, Xia, Zhao, Wei, Tang, Jia-Ning, Dai, Zhong-Bin, Feng, Ya-Ning

    ISSN: 2045-2322, 2045-2322
    Vydavateľské údaje: London Nature Publishing Group UK 18.03.2025
    Vydané v Scientific reports (18.03.2025)
    “…, where Pareto optimal solutions exhibit sparse characteristics. Ordinary large-scale multi-objective optimization algorithms implement undifferentiated update operations…”
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    A Weight Vector Bi-Objective Evolutionary Algorithm with Bi-criterion Evolution for Many-Objective Optimization Autor Wang, Jiangtao, Chen, Hanning

    Vydavateľské údaje: IEEE 29.07.2022
    “… Based on the proposed method, a new multi-objective optimization algorithm BiGE-BEW is proposed…”
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    A Matrix Adaptation Evolution Strategy Based Evolution Algorithm for Large-scale Many-objective Optimization Autor Yang, Ling, Liu, Jianchang, Li, Fei, Tan, Shubin, Zheng, Tianzi, Liu, Yuanchao

    ISSN: 1948-9447
    Vydavateľské údaje: IEEE 01.08.2020
    “… In this paper, therefore, a novel algorithm, denoted as matrix adaptation evolution strategy based evolution algorithm (MAES-EA…”
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    Many-objective optimization for construction project scheduling using non-dominated sorting differential evolution algorithm based on reference points Autor Kaveh, A, Rajabi, F, Mirvalad, S

    Vydavateľské údaje: Tehran Sharif University of Technology 01.12.2021
    “…Scheduling is considered one of the most significant factors in the success of construction projects. In recent years, global construction markets have become…”
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    A GAN-Assisted Bi-Stage Bayesian Co-Evolution Optimization Algorithm for High-dimensional Expensive Many-Objective Problems Autor Tian, Jie, Bian, Hongli, Zhang, Yuyao, Zhang, Xiaoxu, Mijajlovic, Nevena

    Vydavateľské údaje: IEEE 08.06.2025
    “…Bayesian optimization (BO) struggles with data scarcity and poor scalability in high-dimensional expensive many-objective optimization problems (HEMaOPs…”
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    A many-objective evolutionary algorithm based on three states for solving many-objective optimization problem Autor Zhao, Jiale, Zhang, Huijie, Yu, Huanhuan, Fei, Hansheng, Huang, Xiangdang, Yang, Qiuling

    ISSN: 2045-2322, 2045-2322
    Vydavateľské údaje: London Nature Publishing Group UK 19.08.2024
    Vydané v Scientific reports (19.08.2024)
    “…In recent years, researchers have taken the many-objective optimization algorithm, which can optimize 5, 8, 10, 15, 20 objective functions simultaneously, as a new research topic…”
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    A novel grid-based differential evolution (DE) algorithm for many-objective optimization Autor Jin Kiat Chong, Kay Chen Tan

    Vydavateľské údaje: IEEE 01.07.2016
    “…In this paper, we propose a novel grid-based differential evolution (DE) algorithm termed as GrDE to handle many-objective optimization problems…”
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    A Comparative Study of State-of-the-art Metaheuristics for Solving Many-objective Optimization Problems of Fixed Wing Unmanned Aerial Vehicle Conceptual Design Autor Anosri, Siwakorn, Panagant, Natee, Champasak, Pakin, Bureerat, Sujin, Thipyopas, Chinnapat, Kumar, Sumit, Pholdee, Nantiwat, Yıldız, Betül Sultan, Yildiz, Ali Riza

    ISSN: 1134-3060, 1886-1784
    Vydavateľské údaje: Dordrecht Springer Netherlands 01.07.2023
    “… The optimizers included Differential evolution for multi-objective optimization, Many-objective nondominated sorting genetic algorithm, Knee point-driven evolutionary algorithm for many-objective…”
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    Many-objective differential evolution optimization based on reference points: NSDE-R Autor Reddy, Sohail R., Dulikravich, George S.

    ISSN: 1615-147X, 1615-1488
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2019
    “… This work presents a new differential evolution algorithm (NSDE-R) capable of efficiently solving many-objective optimization problems…”
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    SEA: Many-objective evolutionary algorithm with selection evolution strategy Autor Zhang, Quan, Yang, Na, Wu, Ying, Tang, Zhenzhou

    ISSN: 0957-4174, 1873-6793
    Vydavateľské údaje: Elsevier Ltd 15.10.2024
    Vydané v Expert systems with applications (15.10.2024)
    “… To address this challenge, we propose a novel evolutionary algorithm that selectively emphasizes either convergence or diversity, guided by the convergence and diversity indicators of the current…”
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    A Many-Objective Diversity-Guided Differential Evolution Algorithm for Multi-Label Feature Selection in High-Dimensional Datasets Autor Hancer, Emrah, Xue, Bing, Zhang, Mengjie

    ISSN: 2471-285X, 2471-285X
    Vydavateľské údaje: Piscataway IEEE 01.04.2025
    “… This paper proposes a many-objective differential evolution algorithm…”
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    An information entropy-driven evolutionary algorithm based on reinforcement learning for many-objective optimization Autor Liang, Peng, Chen, Yangtao, Sun, Yafeng, Huang, Ying, Li, Wei

    ISSN: 0957-4174, 1873-6793
    Vydavateľské údaje: Elsevier Ltd 15.03.2024
    Vydané v Expert systems with applications (15.03.2024)
    “…) for many-objective optimization with irregular Pareto fronts is proposed. The proposed algorithm leverages reinforcement learning to guide the evolution process…”
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    A many-objective evolutionary algorithm based on a projection-assisted intra-family election Autor Chen, Zefeng, Zhou, Yuren, Xiang, Yi

    ISSN: 1568-4946, 1872-9681
    Vydavateľské údaje: Elsevier B.V 01.12.2017
    Vydané v Applied soft computing (01.12.2017)
    “…•This paper proposes a many-objective evolutionary algorithm based on a projection-assisted intra-family election, called MOEA/PIE…”
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    Constrained multiobjective optimization design for ordinary shovel attachment of hydraulic excavator based on evolutionary algorithm Autor Xu, Gongyue, Feng, Zemin, Wang, Wenbo, Ding, Huafeng

    ISSN: 0952-1976, 1873-6769
    Vydavateľské údaje: Elsevier Ltd 01.09.2024
    “… Then, an improved decomposition-based constrained many-objective evolution algorithm is proposed, which integrates advanced push…”
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    Learning-Aided Evolution for Optimization Autor Zhan, Zhi-Hui, Li, Jian-Yu, Kwong, Sam, Zhang, Jun

    ISSN: 1089-778X, 1941-0026
    Vydavateľské údaje: New York IEEE 01.12.2023
    “…Learning and optimization are the two essential abilities of human beings for problem solving…”
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