Search Results - multi-objective (evolutionary OR evolution) algorithm

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  1. 1

    Multi-Objective Neural Evolutionary Algorithm for Combinatorial Optimization Problems by Shao, Yinan, Lin, Jerry Chun-Wei, Srivastava, Gautam, Guo, Dongdong, Zhang, Hongchun, Yi, Hu, Jolfaei, Alireza

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Published: United States IEEE 01.04.2023
    “…). In this article, we present an end-to-end multi-objective neural evolutionary algorithm based on decomposition and dominance (MONEADD…”
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    Journal Article
  2. 2

    A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems by Kong, Xiangsong, Yang, Yongkuan, Lv, Zhisheng, Zhao, Jing, Fu, Rong

    ISSN: 1568-4946, 1872-9681
    Published: Elsevier B.V 01.07.2023
    Published in Applied soft computing (01.07.2023)
    “… This paper proposed a dynamic dual-population co-evolution multi-objective evolutionary algorithm (DDCMEA…”
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    Journal Article
  3. 3

    Multi-strategy multi-objective differential evolutionary algorithm with reinforcement learning by Han, Yupeng, Peng, Hu, Mei, Changrong, Cao, Lianglin, Deng, Changshou, Wang, Hui, Wu, Zhijian

    ISSN: 0950-7051, 1872-7409
    Published: Elsevier B.V 09.10.2023
    Published in Knowledge-based systems (09.10.2023)
    “…Multiobjective evolutionary algorithms (MOEAs) have gained much attention due to their high effectiveness and efficiency in solving multiobjective optimization problems (MOPs…”
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  4. 4

    A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio by Yang, Yongkuan, Liu, Jianchang, Tan, Shubin, Wang, Honghai

    ISSN: 1568-4946, 1872-9681
    Published: Elsevier B.V 01.07.2019
    Published in Applied soft computing (01.07.2019)
    “…Most current evolutionary multi-objective optimization (EMO) algorithms perform well on multi-objective optimization problems without constraints…”
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  5. 5
  6. 6

    Solving multi-objective optimal power flow problem via forced initialised differential evolution algorithm by Shaheen, Abdullah M., El-Sehiemy, Ragab A., Farrag, Sobhy M.

    ISSN: 1751-8687, 1751-8695
    Published: The Institution of Engineering and Technology 05.05.2016
    “…This study proposes a multi-objective differential evolution algorithm (MO-DEA) based on forced initialisation to solve the optimal power flow (OPF) problem…”
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  7. 7

    A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems by Zou, Juan, Sun, Ruiqing, Yang, Shengxiang, Zheng, Jinhua

    ISSN: 0020-0255, 1872-6291
    Published: Elsevier Inc 01.11.2021
    Published in Information sciences (01.11.2021)
    “… To solve this problem, we propose a dual-population multi-objective optimization evolutionary algorithm…”
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  8. 8

    Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification by Xue, Yu, Zhu, Haokai, Liang, Jiayu, Słowik, Adam

    ISSN: 0950-7051, 1872-7409
    Published: Amsterdam Elsevier B.V 05.09.2021
    Published in Knowledge-based systems (05.09.2021)
    “… Generally speaking, feature selection can be considered as a multi-objective optimization problem…”
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  9. 9

    Multi-objective evolution strategy for multimodal multi-objective optimization by Zhang, Kai, Chen, Minshi, Xu, Xin, Yen, Gary G.

    ISSN: 1568-4946, 1872-9681
    Published: Elsevier B.V 01.03.2021
    Published in Applied soft computing (01.03.2021)
    “…In the past decades, various effective and efficient multi-objective evolutionary algorithms (MOEAs…”
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  10. 10

    Cultural transmission based multi-objective evolution strategy for evolutionary multitasking by Xu, Zhiwei, Liu, Xiaoming, Zhang, Kai, He, Juanjuan

    ISSN: 0020-0255, 1872-6291
    Published: Elsevier Inc 01.01.2022
    Published in Information sciences (01.01.2022)
    “…In recent years, many efficient evolutionary multitasking (EMT) algorithms have been proposed to solve multi-objective multi-task optimization problems…”
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    Journal Article
  11. 11

    Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks by Singh, Dilbag, Kumar, Vijay, Vaishali, Kaur, Manjit

    ISSN: 0934-9723, 1435-4373, 1435-4373
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2020
    “…Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease cure and control. Compared with reverse-transcription polymerase…”
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  12. 12

    A two-archive model based evolutionary algorithm for multimodal multi-objective optimization problems by Hu, Yi, Wang, Jie, Liang, Jing, Wang, Yanli, Ashraf, Usman, Yue, Caitong, Yu, Kunjie

    ISSN: 1568-4946, 1872-9681
    Published: Elsevier B.V 01.04.2022
    Published in Applied soft computing (01.04.2022)
    “…Multimodal multi-objective optimization (MMO) can offer more elegant solutions and provide diverse decisions to decision-makers in real world optimization problems…”
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  13. 13

    Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem by Niu, Yunyun, Shao, Jie, Xiao, Jianhua, Song, Wen, Cao, Zhiguang

    ISSN: 0020-0255
    Published: Elsevier Inc 01.09.2022
    Published in Information sciences (01.09.2022)
    “… Most multi-objective evolutionary algorithm dealing with this problem update current population without any guidance from previous searching experience…”
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  14. 14

    A dual-time dual-population multi-objective evolutionary algorithm with application to the portfolio optimization problem by Song, Yingjie, Han, Lihuan, Zhang, Bin, Deng, Wu

    ISSN: 0952-1976, 1873-6769
    Published: Elsevier Ltd 01.07.2024
    “…The article proposes a dual-time dual-population multi-objective evolutionary algorithm, DTDP-EAMO, to address the challenges faced by multi-objective differential evolution algorithms in solving…”
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  15. 15

    A multi-objective evolutionary algorithm for steady-state constrained multi-objective optimization problems by Yang, Yongkuan, Liu, Jianchang, Tan, Shubin

    ISSN: 1568-4946, 1872-9681
    Published: Elsevier B.V 01.03.2021
    Published in Applied soft computing (01.03.2021)
    “…Many multi-objective evolutionary algorithms (MOEAs) are developed to solve constrained multi-objective optimization problems (CMOPs…”
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  16. 16

    Multi-objective energy management for Atkinson cycle engine and series hybrid electric vehicle based on evolutionary NSGA-II algorithm using digital twins by Li, Yangyang, Wang, Shuqian, Duan, Xiongbo, Liu, Shujing, Liu, Jingping, Hu, Song

    ISSN: 0196-8904, 1879-2227
    Published: Oxford Elsevier Ltd 15.02.2021
    Published in Energy conversion and management (15.02.2021)
    “… software, MATLAB/Simulink software and multi objective evolutionary optimization using evolutionary non-dominated sorting genetic algorithm…”
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  17. 17

    A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments by Abualigah, Laith, Diabat, Ali

    ISSN: 1386-7857, 1573-7543
    Published: New York Springer US 01.03.2021
    Published in Cluster computing (01.03.2021)
    “… We present a novel hybrid antlion optimization algorithm with elite-based differential evolution for solving multi-objective task scheduling problems in cloud computing environments…”
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  18. 18

    Decomposition-based multi-objective evolutionary algorithm with customized evolution strategy according to population state by Chen, Lexing, Li, Taiyong, Zhu, Donglin, Deng, Wu

    ISSN: 1568-4946
    Published: Elsevier B.V 01.11.2025
    Published in Applied soft computing (01.11.2025)
    “…Multi-objective evolutionary algorithms (MOEAs) are designed to obtain a set of solutions that closely approximate the Pareto front and maintain uniform distribution along…”
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  19. 19

    A competitive mechanism based multi-objective differential evolution algorithm and its application in feature selection by Pan, Jeng-Shyang, Liu, Nengxian, Chu, Shu-Chuan

    ISSN: 0950-7051, 1872-7409
    Published: Amsterdam Elsevier B.V 07.06.2022
    Published in Knowledge-based systems (07.06.2022)
    “…A large number of evolutionary algorithms have been introduced for multi-objective optimization problems in the past two decades…”
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  20. 20

    Scheduling of Continuous Annealing With a Multi-Objective Differential Evolution Algorithm Based on Deep Reinforcement Learning by Li, Tianyang, Meng, Ying, Tang, Lixin

    ISSN: 1545-5955, 1558-3783
    Published: New York IEEE 01.04.2024
    “… In this paper, we formulate a multi-objective optimization model for the problem and develop an adaptive multi-objective differential evolutionary based on deep reinforcement learning (AMODE-DRL…”
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