Suchergebnisse - multi-swarm fruit fly optimization algorithm

A multi-swarm greedy selection enhanced fruit fly optimization algorithm for global optimization in oil and gas production.

Autoren: Gao, Yang Cheng, Liang

Quelle: PLoS ONE. 6/3/2025, Vol. 20 Issue 6, p1-31. 31p.

Schlagwörter: *OPTIMIZATION algorithms, *EVOLUTIONARY algorithms, *GLOBAL optimization, *GENETIC algorithms, *PROCESS capability

A multi-swarm greedy selection enhanced fruit fly optimization algorithm for global optimization in oil and gas production

Autoren: Yang Gao Liang Cheng

Quelle: PLoS ONE, Vol 20, Iss 6 (2025)

Schlagwörter: Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12132985/?tool=EBI; https://doaj.org/toc/1932-6203

Zugangs-URL: https://doaj.org/article/d1ce77e44669400e9056cbcd6f4e3a33

Solving the Multi-Functional Heterogeneous UAV Cooperative Mission Planning Problem Using Multi-Swarm Fruit Fly Optimization Algorithm

Autoren: Rubin Luo Hongxing Zheng Jifeng Guo

Quelle: Sensors, Vol 20, Iss 18, p 5026 (2020)

Schlagwörter: multi-functional heterogeneous UAVs, cooperative mission planning, multi-swarm fruit fly optimization algorithm, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/20/18/5026; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/b2d23b0bffb343379471d05c13d182ab

A multi-swarm fruit fly optimization algorithm to minimize makespan for the hybrid flowshop problem

Autoren: Jun-Hua Duan Weiqing Sun Quan-Ke Pan et al.

Quelle: 2017 36th Chinese Control Conference (CCC). :2796-2800

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8027788

Multi-swarm fruit fly optimization algorithm for structural damage identification

Autoren: S. Li Z.R. Lu

Quelle: Structural Engineering and Mechanics. 56:409-422

Schlagwörter: 0203 mechanical engineering, 02 engineering and technology, 0201 civil engineering

Zugangs-URL: http://www.techno-press.org/content/?page=article&journal=sem&volume=56&num=3&ordernum=5
https://www.techno-press.org/content/?page=article&journal=sem&volume=56&num=3&ordernum=5
http://www.koreascience.or.kr/article/ArticleFullRecord.jsp?cn=KJKHB9_2015_v56n3_409

Community Detection Utilizing a Novel Multi-swarm Fruit Fly Optimization Algorithm with Hill-Climbing Strategy

Autoren: Shudong Li Bin Zhou Peng Zou et al.

Quelle: Arabian Journal for Science and Engineering. 41:807-828

Schlagwörter: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Zugangs-URL: https://link.springer.com/content/pdf/10.1007%2Fs13369-015-1905-5.pdf
https://link.springer.com/article/10.1007/s13369-015-1905-5

On a novel multi-swarm fruit fly optimization algorithm and its application

Autoren: Xiaofang Yuan Jingyi Zhao Qian He et al.

Quelle: Applied Mathematics and Computation. 233:260-271

Schlagwörter: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://www.sciencedirect.com/science/article/abs/pii/S0096300314002379
https://doi.org/10.1016/j.amc.2014.02.005
https://dblp.uni-trier.de/db/journals/amc/amc233.html#YuanDZH14

Multiple Swarm Fruit Fly Optimization Algorithm Based Path Planning Method for Multi-UAVs

Autoren: Kunming Shi Xiangyin Zhang Shuang Xia

Quelle: Applied Sciences, Vol 10, Iss 8, p 2822 (2020)

Schlagwörter: multiple unmanned aerial vehicles (multi-UAVs), fruit fly optimization algorithm (FOA), path planning, multi-swarms, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/10/8/2822; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/344cfba969f1447aa0a54ce83fde1ca7

A novel binary multi-swarms fruit fly optimization algorithm for the 0-1 multidimensional knapsack problem

Autoren: Xin Du Jiawei Zhou Youcong Ni et al.

Quelle: International Journal of Bio-Inspired Computation. 1:1

A Hybrid Framework Model Based on Wavelet Neural Network with Improved Fruit Fly Optimization Algorithm for Traffic Flow Prediction.

Autoren: Zhang, Qingyong Li, Changwu Yin, Conghui et al.

Quelle: Symmetry (20738994). Jul2022, Vol. 14 Issue 7, pN.PAG-N.PAG. 19p.

Schlagwörter: *FRUIT flies, *TRAFFIC flow, *MATHEMATICAL optimization, *FORECASTING, *PREDICTION models

An upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure

Autoren: K. Loheswaran

Quelle: IET Networks, Vol 10, Iss 1, Pp 24-33 (2021)

Schlagwörter: search problems, design of experiments, optimisation, Telecommunication, 0202 electrical engineering, electronic engineering, information engineering, scheduling, TK5101-6720, 02 engineering and technology, particle swarm optimisation, regression analysis

Zugangs-URL: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ntw2.12001
https://doaj.org/article/32e2d64796e1404c8f4546bb4f57da7a
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ntw2.12001
https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/ntw2.12001

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

Autoren: Loheswaran, K.

Quelle: IET Networks (Wiley-Blackwell); Jan2021, Vol. 10 Issue 1, p24-33, 10p

Exploiting Quality-Guided Adaptive Optimization for Fusing Multimodal Medical Images

Autoren: Lu Tang Chuangeng Tian Kai Xu

Quelle: IEEE Access, Vol 7, Pp 96048-96059 (2019)

Schlagwörter: multi-swarm fruit fly optimization algorithm, 0202 electrical engineering, electronic engineering, information engineering, multimodal medical image fusion, Quality guided, pulse coupled neural network, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08756005.pdf
https://doaj.org/article/1f5018ab0ffc4f2eb7e5c180ebec5f08
https://dblp.uni-trier.de/db/journals/access/access7.html#TangTX19

A systematic review on fruit fly optimization algorithm and its applications.

Autoren: Ranjan, Ranjeet Kumar Kumar, Vijay

Quelle: Artificial Intelligence Review; Nov2023, Vol. 56 Issue 11, p13015-13069, 55p

Three-Partition Multistrategy Adaptive Fruit Fly Optimization Algorithm for Microgrid Droop Control.

Autoren: Tao, Xinkun Zhang, Li Wang, Fuzhong et al.

Quelle: International Transactions on Electrical Energy Systems; 2/14/2022, p1-20, 20p

Schlagwörter: FRUIT flies, MICROGRIDS, MATHEMATICAL optimization, PROBLEM solving

RO-FOA: An ecosystem-inspired compact fruit fly optimization algorithm for Box-constrained optimization.

Autoren: Apinantanakon, Wirote Sunat, Khamron Kinmond, Joel Alan

Quelle: Engineering & Applied Science Research; 2020, Vol. 47 Issue 1, p1-25, 26p

Schlagwörter: MATHEMATICAL optimization, FRUIT flies, RANDOM walks, MULTILAYER perceptrons, SEARCH algorithms

Community Detection Utilizing a Novel Multi-swarm Fruit Fly Optimization Algorithm with Hill-Climbing Strategy.

Autoren: Liu, Qiang Zhou, Bin Li, Shudong et al.

Quelle: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Mar2016, Vol. 41 Issue 3, p807-828, 22p

Schlagwörter: EVOLUTIONARY algorithms, COMPUTER networks, STOCHASTIC convergence

改进果蝇算法求解混合流水车间调度问题. (Chinese)

Alternate Title: Improved fruit fly optimization algorithm for solving the hybrid flow shop scheduling problem. (English)

Autoren: 周永强 王翠雨 李颖俐 et al.

Quelle: Control Theory & Applications / Kongzhi Lilun Yu Yinyong; Apr2023, Vol. 40 Issue 4, p597-606, 10p

Schlagwörter: FLOW shop scheduling, FRUIT flies, NEIGHBORHOODS, EVALUATION methodology, K-nearest neighbor classification

Frequency-constrained truss optimization using the fruit fly optimization algorithm with an adaptive vision search strategy.

Autoren: Liu, Shuang Zhu, Hongping Chen, Zhijun et al.

Quelle: Engineering Optimization; May2020, Vol. 52 Issue 5, p777-797, 21p

Schlagwörter: FRUIT flies, MATHEMATICAL optimization, TRUSSES, TARDINESS, VISION, STRUCTURAL analysis (Engineering), ELITISM, STRUCTURAL optimization

Iterative foraging process of fruit flies.

Autoren: Yang Gao Liang Cheng

Schlagwörter: Medicine, Ecology, Infectious Diseases, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, well control parameters, including ablation studies, ieee cec 2022, ieee cec 2017, algorithm &# 8217, growing global demand, greedy selection mechanism, achieving effective optimization, search trace visualizations, population &# 8217, mgfoa significantly outperformed, first apply multi, gas production optimization, gas production, global optimization, swarm mechanism, optimization performance, similar algorithms, search ability, scalability experiments, powerful tools, petroleum sector, paramount importance

Relation: https://figshare.com/articles/figure/Iterative_foraging_process_of_fruit_flies_/29227023

Verfügbarkeit: https://doi.org/10.1371/journal.pone.0322111.g001
https://figshare.com/articles/figure/Iterative_foraging_process_of_fruit_flies_/29227023