Suchergebnisse - multi-swarm fruit fly optimization algorithm

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  1. 1

    Solving the Multi-Functional Heterogeneous UAV Cooperative Mission Planning Problem Using Multi-Swarm Fruit Fly Optimization Algorithm von Luo, Rubin, Zheng, Hongxing, Guo, Jifeng

    ISSN: 1424-8220, 1424-8220
    Veröffentlicht: MDPI 04.09.2020
    Veröffentlicht in Sensors (Basel, Switzerland) (04.09.2020)
    “… In this paper, a multi-swarm fruit fly optimization algorithm (MFOA) with dual strategy switching is proposed to solve the multi-functional heterogeneous UAV cooperative …”
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  2. 2

    On a novel multi-swarm fruit fly optimization algorithm and its application von Yuan, Xiaofang, Dai, Xiangshan, Zhao, Jingyi, He, Qian

    ISSN: 0096-3003, 1873-5649
    Veröffentlicht: Elsevier Inc 01.05.2014
    Veröffentlicht in Applied mathematics and computation (01.05.2014)
    “… ), has been developed. This paper presents a variation on original FOA technique, named multi-swarm fruit fly optimization algorithm (MFOA …”
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  3. 3

    A multi-swarm greedy selection enhanced fruit fly optimization algorithm for global optimization in oil and gas production von Gao, Yang, Cheng, Liang

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: United States Public Library of Science 03.06.2025
    Veröffentlicht in PloS one (03.06.2025)
    “… Evolutionary algorithms, inspired by biological evolution, have proven to be powerful tools for solving complex optimization challenges due to their independence from gradient information …”
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  4. 4

    Community Detection Utilizing a Novel Multi-swarm Fruit Fly Optimization Algorithm with Hill-Climbing Strategy von Liu, Qiang, Zhou, Bin, Li, Shudong, Li, Ai-ping, Zou, Peng, Jia, Yan

    ISSN: 1319-8025, 2191-4281
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2016
    Veröffentlicht in Arabian Journal for Science and Engineering (01.03.2016)
    “… In this paper, we first propose a new community detection method utilizing multi-swarm fruit fly optimization algorithm (CDMFOA …”
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  5. 5

    A multi-swarm fruit fly optimization algorithm to minimize makespan for the hybrid flowshop problem von Duan, Junhua, Chen, Qingda, Sun, Weiqing, Pan, Quanke

    ISSN: 1934-1768
    Veröffentlicht: Technical Committee on Control Theory, CAA 01.07.2017
    Veröffentlicht in Chinese Control Conference (01.07.2017)
    “… This paper aims to minimize makespan for the hybrid flowshop scheduling problem. We present a novel Fruit Fly Optimization (FFO …”
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  6. 6

    Exploiting Quality-Guided Adaptive Optimization for Fusing Multimodal Medical Images von Tang, Lu, Tian, Chuangeng, Xu, Kai

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2019
    Veröffentlicht in IEEE access (2019)
    “… This paper presents a quality-guided adaptive optimization method for MMIF, which is based on PCNN optimized by multi-swarm fruit fly optimization algorithm (MFOA …”
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  7. 7

    Multiple Swarm Fruit Fly Optimization Algorithm Based Path Planning Method for Multi-UAVs von Shi, Kunming, Zhang, Xiangyin, Xia, Shuang

    ISSN: 2076-3417, 2076-3417
    Veröffentlicht: MDPI AG 01.04.2020
    Veröffentlicht in Applied sciences (01.04.2020)
    “… The fruit fly optimization algorithm (FOA) is widely used to handle this kind of nonlinear optimization problem …”
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  8. 8

    An upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure von Loheswaran, K.

    ISSN: 2047-4962, 2047-4954, 2047-4962
    Veröffentlicht: Wiley 01.01.2021
    Veröffentlicht in IET networks (01.01.2021)
    “… In this manuscript, an upgraded Fruit Fly Optimization Algorithm (FFOA) is proposed for optimising task scheduling and resource management processes …”
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  9. 9

    Energy-Efficient machining process analysis and optimisation based on BS EN24T alloy steel as case studies von Moreira, L.C., Li, W.D., Lu, X., Fitzpatrick, M.E.

    ISSN: 0736-5845, 1879-2537
    Veröffentlicht: Oxford Elsevier Ltd 01.08.2019
    Veröffentlicht in Robotics and computer-integrated manufacturing (01.08.2019)
    “… •A multi-objective optimisation model has been formulated, and a novel improved multi-swarm fruit fly optimisation algorithm (iMFOA …”
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  10. 10

    A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments von Tang, Hongwei, Sun, Wei, Yu, Hongshan, Lin, Anping, Xue, Min, Song, Yuxue

    ISSN: 0924-669X, 1573-7497
    Veröffentlicht: New York Springer US 01.07.2019
    Veröffentlicht in Applied intelligence (Dordrecht, Netherlands) (01.07.2019)
    “… Swarm intelligence algorithms, such as Particle Swarm Optimization (PSO) and Fruit Fly Optimization Algorithm (FOA), are widely used …”
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  11. 11

    A Hybrid Framework Model Based on Wavelet Neural Network with Improved Fruit Fly Optimization Algorithm for Traffic Flow Prediction von Zhang, Qingyong, Li, Changwu, Yin, Conghui, Zhang, Hang, Su, Fuwen

    ISSN: 2073-8994, 2073-8994
    Veröffentlicht: Basel MDPI AG 01.07.2022
    Veröffentlicht in Symmetry (Basel) (01.07.2022)
    “… To overcome the problem that the basic fruit fly optimization algorithm (FOA) is easy to fall into local optimum and the search method is single, an improved fruit fly optimization algorithm (IFOA …”
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  12. 12

    A knowledge-guided multi-objective fruit fly optimization algorithm for the multi-skill resource constrained project scheduling problem von Wang, Ling, Zheng, Xiao-long

    ISSN: 2210-6502
    Veröffentlicht: Elsevier B.V 01.02.2018
    Veröffentlicht in Swarm and evolutionary computation (01.02.2018)
    “… In this paper, a knowledge-guided multi-objective fruit fly optimization algorithm (MOFOA …”
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  13. 13

    Gaussian mutational chaotic fruit fly-built optimization and feature selection von Zhang, Xiang, Xu, Yueting, Yu, Caiyang, Heidari, Ali Asghar, Li, Shimin, Chen, Huiling, Li, Chengye

    ISSN: 0957-4174, 1873-6793
    Veröffentlicht: New York Elsevier Ltd 01.03.2020
    Veröffentlicht in Expert systems with applications (01.03.2020)
    “… ] To cope with the potential shortcomings of classical fruit fly optimization algorithm (FOA), a new version of FOA with Gaussian mutation operator and the chaotic local search strategy …”
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  14. 14

    Cutting State Diagnosis for Shearer through the Vibration of Rocker Transmission Part with an Improved Probabilistic Neural Network von Si, Lei, Wang, Zhongbin, Liu, Xinhua, Tan, Chao, Zhang, Lin

    ISSN: 1424-8220, 1424-8220
    Veröffentlicht: Switzerland MDPI AG 06.04.2016
    Veröffentlicht in Sensors (Basel, Switzerland) (06.04.2016)
    “… on a probabilistic neural network (PNN) and fruit fly optimization algorithm (FOA). The original FOA is modified with a multi-swarm strategy to enhance the search performance and the modified FOA is utilized to optimize the smoothing parameters of the PNN …”
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  15. 15

    Efficient multi-population outpost fruit fly-driven optimizers: Framework and advances in support vector machines von Chen, Huiling, Li, Shimin, Asghar Heidari, Ali, Wang, Pengjun, Li, Jiawei, Yang, Yutao, Wang, Mingjing, Huang, Changcheng

    ISSN: 0957-4174, 1873-6793
    Veröffentlicht: New York Elsevier Ltd 15.03.2020
    Veröffentlicht in Expert systems with applications (15.03.2020)
    “… The original fruit fly algorithm (FOA) in simple structure is easy to understand, but it has a slow convergence rate and tends to be trapped in the local optimal solutions …”
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  16. 16

    An Enhanced Fruit Fly Optimization for the Flexible Job Shop Scheduling Problem with Lot Streaming von Meng, Tao, Duan, Jun-hua, Pan, Quan-ke, Chen, Qing-da, Guo, Ju-tao

    ISSN: 1934-1768
    Veröffentlicht: Technical Committee on Control Theory, Chinese Association of Automation 01.07.2018
    Veröffentlicht in Chinese Control Conference (01.07.2018)
    “… In this work, we propose an enhanced fruit fly optimization (EnFFO) to solve the flexible job shop scheduling problem with the consideration of lot streaming, the criterion of which is total flowtime minimization …”
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  17. 17

    Hybrid collaborative multi-objective fruit fly optimization algorithm for scheduling workflow in cloud environment von Qin, Shuo, Pi, Dechang, Shao, Zhongshi, Xu, Yue

    ISSN: 2210-6502
    Veröffentlicht: Elsevier B.V 01.02.2022
    Veröffentlicht in Swarm and evolutionary computation (01.02.2022)
    “… In this paper, a novel hybrid collaborative multi-objective fruit fly optimization algorithm (HCMFOA) is developed to optimize both the execution time and cost …”
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  18. 18

    UAV flight path design using multi-objective grasshopper with harmony search for cluster head selection in wireless sensor networks von Xing, Peizhen, Zhang, Hui, Ghoneim, Mohamed E., Shutaywi, Meshal

    ISSN: 1022-0038, 1572-8196
    Veröffentlicht: New York Springer US 01.02.2023
    Veröffentlicht in Wireless networks (01.02.2023)
    “… The proposed work, uses Multiple Swarm Fruit fly optimization with the Q-Learning method for path planning in multiple UAVs …”
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  19. 19

    A novel Fruit Fly Optimization Algorithm with quasi-affine transformation evolutionary for numerical optimization and application von Wang, Ru-Yu, Hu, Pei, Hu, Chia-Cheng, Pan, Jeng-Shyang

    ISSN: 1550-1329, 1550-1477
    Veröffentlicht: London, England SAGE Publications 01.02.2022
    “… The Fruit Fly Optimization Algorithm is a swarm intelligence algorithm with strong versatility and high computational efficiency …”
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  20. 20

    Lane Detection on Rainy Nights Based on Memory and Discretization Mechanisms von Li, Yonghang, Wang, Chang, Wang, Yifei, Ren, Miao, Niu, Jin, Zhao, Jikang, Du, Kai

    ISSN: 1524-9050, 1558-0016
    Veröffentlicht: IEEE 01.07.2025
    “… Firstly, a Memory Fruit-fly-optimizer with Individual Differences (MFID) is innovatively proposed to drive Multi-threshold Otsu (MOtsu …”
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