Suchergebnisse - "Population-based algorithm"

  1. 1

    Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm von Mirjalili, Seyedali

    ISSN: 0950-7051, 1872-7409
    Veröffentlicht: Elsevier B.V 01.11.2015
    Veröffentlicht in Knowledge-based systems (01.11.2015)
    “… In this paper a novel nature-inspired optimization paradigm is proposed called Moth-Flame Optimization (MFO) algorithm. The main inspiration of this optimizer …”
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  2. 2

    Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications von Trojovský, Pavel, Dehghani, Mohammad

    ISSN: 1424-8220, 1424-8220
    Veröffentlicht: Switzerland MDPI AG 23.01.2022
    Veröffentlicht in Sensors (Basel, Switzerland) (23.01.2022)
    “… Optimization is an important and fundamental challenge to solve optimization problems in different scientific disciplines. In this paper, a new stochastic …”
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  3. 3

    SCA: A Sine Cosine Algorithm for solving optimization problems von Mirjalili, Seyedali

    ISSN: 0950-7051, 1872-7409
    Veröffentlicht: Elsevier B.V 15.03.2016
    Veröffentlicht in Knowledge-based systems (15.03.2016)
    “… This paper proposes a novel population-based optimization algorithm called Sine Cosine Algorithm (SCA) for solving optimization problems. The SCA creates …”
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  4. 4

    Gold rush optimizer. a new population-based metaheuristic algorithm von Zolfi, Kamran

    ISSN: 2081-8858, 2391-6060
    Veröffentlicht: Wrocław University of Science and Technology 2023
    Veröffentlicht in Operations research and decisions (2023)
    “… Today’s world is characterised by competitive environments, optimal resource utilization, and cost reduction, which has resulted in an increasing role for …”
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  5. 5

    A carnivorous plant algorithm for solving global optimization problems von Ong, Kok Meng, Ong, Pauline, Sia, Chee Kiong

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.01.2021
    Veröffentlicht in Applied soft computing (01.01.2021)
    “… In this study, a novel metaheuristic algorithm, namely, carnivorous plant algorithm (CPA), inspired by how the carnivorous plants adapting to survive in the …”
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  6. 6

    Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking von Nenavath, Hathiram, Jatoth, Ravi Kumar

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.01.2018
    Veröffentlicht in Applied soft computing (01.01.2018)
    “… [Display omitted] •A novel Hybrid SCA-DE algorithm is introduced for global optimization and object tracking.•The proposed hybrid algorithm has better …”
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  7. 7

    Chaotic gravitational constants for the gravitational search algorithm von Mirjalili, Seyedali, Gandomi, Amir H.

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.04.2017
    Veröffentlicht in Applied soft computing (01.04.2017)
    “… [Display omitted] •Chaotic maps have been embedded into Gravitational Search Algorithms (GSA) for the first time.•The problem of trapping in local minima in …”
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  8. 8

    Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm von Mohamed, Ali Wagdy, Hadi, Anas A., Mohamed, Ali Khater

    ISSN: 1868-8071, 1868-808X
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2020
    “… This paper proposes a novel nature-inspired algorithm called Gaining Sharing Knowledge based Algorithm (GSK) for solving optimization problems over continuous …”
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  9. 9

    Grasshopper Optimization Algorithm: Theory, Variants, and Applications von Meraihi, Yassine, Gabis, Asma Benmessaoud, Mirjalili, Seyedali, Ramdane-Cherif, Amar

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2021
    Veröffentlicht in IEEE access (2021)
    “… Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired by the foraging and swarming behavior of grasshoppers in nature. The …”
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  10. 10

    A comprehensive survey of sine cosine algorithm: variants and applications von Gabis, Asma Benmessaoud, Meraihi, Yassine, Mirjalili, Seyedali, Ramdane-Cherif, Amar

    ISSN: 0269-2821, 1573-7462
    Veröffentlicht: Dordrecht Springer Netherlands 01.10.2021
    Veröffentlicht in The Artificial intelligence review (01.10.2021)
    “… Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the proprieties of trigonometric sine and cosine functions. Since its introduction …”
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  11. 11

    An efficient approach to parameter extraction of photovoltaic cell models using a new population-based algorithm von Słowik, Adam, Cpałka, Krzysztof, Xue, Yu, Hapka, Aneta

    ISSN: 0306-2619, 1872-9118
    Veröffentlicht: Elsevier Ltd 15.06.2024
    Veröffentlicht in Applied energy (15.06.2024)
    “… This article discusses the problem of accurate and efficient modeling of photovoltaic (PV) panels. It is a highly nonlinear problem. The following models were …”
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  12. 12

    MAR-GSA: Mixed attraction and repulsion based gravitational search algorithm von Qian, Zhiqiang, Xie, Yongfang, Xie, Shiwen

    ISSN: 0020-0255, 1872-6291
    Veröffentlicht: Elsevier Inc 01.03.2024
    Veröffentlicht in Information sciences (01.03.2024)
    “… As a population-based stochastic optimization algorithm, Gravitational Search Algorithm (GSA) has attracted numerous interests and has been applied in various …”
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  13. 13

    Improving mutation strategies in differential evolution with a new pbest selection mechanism von Popič, Jan, Bošković, Borko, Brest, Janez

    ISSN: 1568-4946
    Veröffentlicht: Elsevier B.V 01.12.2025
    Veröffentlicht in Applied soft computing (01.12.2025)
    “… Differential evolution, which belongs to a group of population-based algorithms, has received a lot of research attention since its introduction in 1995. A …”
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  14. 14

    WOA-TLBO: Whale optimization algorithm with Teaching-learning-based optimization for global optimization and facial emotion recognition von Vijaya Lakshmi, A., Mohanaiah, P.

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.10.2021
    Veröffentlicht in Applied soft computing (01.10.2021)
    “… The Whale Optimization Algorithm (WOA) is a recently developed algorithm that is based on the chasing mechanism of humpback whales. Benefiting from the unique …”
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    Aphid–Ant Mutualism: A novel nature-inspired​ metaheuristic algorithm for solving optimization problems von Eslami, N., Yazdani, S., Mirzaei, M., Hadavandi, E.

    ISSN: 0378-4754
    Veröffentlicht: Elsevier B.V 01.11.2022
    Veröffentlicht in Mathematics and computers in simulation (01.11.2022)
    “… Swarm intelligence algorithms, which are developed for solving complex optimization problems designed by focusing on simulating the social behavior of one …”
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  16. 16

    Adaptive local landscape feature vector for problem classification and algorithm selection von Li, Yaxin, Liang, Jing, Yu, Kunjie, Chen, Ke, Guo, Yinan, Yue, Caitong, Zhang, Leiyu

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.12.2022
    Veröffentlicht in Applied soft computing (01.12.2022)
    “… Fitness landscape analysis is a data-driven technique to study the relationship between problem characteristics and algorithm performance by characterizing the …”
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  17. 17

    Recent applications and advances of African Vultures Optimization Algorithm von Hussien, Abdelazim G., Gharehchopogh, Farhad Soleimanian, Bouaouda, Anas, Kumar, Sumit, Hu, Gang

    ISSN: 1573-7462, 0269-2821, 1573-7462
    Veröffentlicht: Dordrecht Springer Netherlands 01.12.2024
    Veröffentlicht in The Artificial intelligence review (01.12.2024)
    “… The African Vultures Optimization Algorithm (AVOA) is a recently developed meta-heuristic algorithm inspired by the foraging behavior of African vultures in …”
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  18. 18

    Adaptive recommendation model using meta-learning for population-based algorithms von Chu, Xianghua, Cai, Fulin, Cui, Can, Hu, Mengqi, Li, Li, Qin, Quande

    ISSN: 0020-0255, 1872-6291
    Veröffentlicht: Elsevier Inc 01.02.2019
    Veröffentlicht in Information sciences (01.02.2019)
    “… To efficiently solve complex optimization problems, numerous population-based meta-heuristics and extensions have been developed. However, the performances of …”
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    Population-based Algorithm Portfolios with automated constituent algorithms selection von Tang, Ke, Peng, Fei, Chen, Guoliang, Yao, Xin

    ISSN: 0020-0255, 1872-6291
    Veröffentlicht: Elsevier Inc 20.09.2014
    Veröffentlicht in Information sciences (20.09.2014)
    “… Population-based Algorithm Portfolios (PAP) is an appealing framework for integrating different Evolutionary Algorithms (EAs) to solve challenging numerical …”
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