Search Results - "algorithm comparison"

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  1. 1

    A survey of recently developed metaheuristics and their comparative analysis by Alorf, Abdulaziz

    ISSN: 0952-1976, 1873-6769
    Published: Elsevier Ltd 01.01.2023
    “…The aim of this study was to gather, discuss, and compare recently developed metaheuristics to understand the pace of development in the field of…”
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    Journal Article
  2. 2

    Maximum number of generations as a stopping criterion considered harmful by Ravber, Miha, Liu, Shih-Hsi, Mernik, Marjan, Črepinšek, Matej

    ISSN: 1568-4946, 1872-9681
    Published: Elsevier B.V 01.10.2022
    Published in Applied soft computing (01.10.2022)
    “…Evolutionary algorithms have been shown to be very effective in solving complex optimization problems. This has driven the research community in the…”
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  3. 3

    Experimental Analysis of Algorithms for the Dynamic Graph Coloring Problem by Theunis, Menno, Roeloffzen, Marcel

    ISSN: 1526-1719, 1526-1719
    Published: 22.08.2024
    “…This paper focuses on the dynamic graph coloring problem, a dynamic variant based on the well-researched graph coloring problem. This variant of the problem…”
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  4. 4

    IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics by de Nobel, Jacob, Ye, Furong, Vermetten, Diederick, Wang, Hao, Doerr, Carola, Bäck, Thomas

    ISSN: 1530-9304, 1530-9304
    Published: United States 03.09.2024
    Published in Evolutionary computation (03.09.2024)
    “…We present IOHexperimenter, the experimentation module of the IOHprofiler project. IOHexperimenter aims at providing an easy-to-use and customizable toolbox…”
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  5. 5

    Model review and algorithm comparison on multi-objective disassembly line balancing by Laili, Yuanjun, Li, Yulin, Fang, Yilin, Pham, Duc Truong, Zhang, Lin

    ISSN: 0278-6125
    Published: Elsevier Ltd 01.07.2020
    Published in Journal of manufacturing systems (01.07.2020)
    “…•The mathematical models of disassembly line balancing are summarised.•The transformations between different disassembly line balancing models are…”
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  6. 6

    Comparison of machine learning algorithms to identify and prevent low back injury by Paulino, Christian Ovalle, Correa, Jorge Huamani

    ISSN: 2088-8708, 2722-2578
    Published: 01.02.2025
    “…With the advancement of technology, remote work and virtual classes have become increasingly common, leading to prolonged periods in front of computers and,…”
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  7. 7

    A novel multi-objective spiral optimization algorithm for an innovative solar/biomass-based multi-generation energy system: 3E analyses, and optimization algorithms comparison by Cao, Yan, Nikafshan Rad, Hima, Hamedi Jamali, Danial, Hashemian, Nasim, Ghasemi, Amir

    ISSN: 0196-8904, 1879-2227
    Published: Oxford Elsevier Ltd 01.09.2020
    Published in Energy conversion and management (01.09.2020)
    “…•Multi-generation system consists of desalination and absorption chiller is presented.•The multi-objective spiral optimization algorithm is designed for the…”
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  8. 8

    ACP-MO: A NOVEL METAHEURISTIC OPTIMIZATION ALGORITHM BASED ON AN ADVANCED CERAMIC PROCESSING METAPHOR FOR OPTIMIZATION by Zhang, Jincheng

    ISSN: 2466-4677, 2466-4847
    Published: The Serbian Academic Center 01.06.2025
    Published in Applied Engineering Letters (01.06.2025)
    “…In the field of modern optimization, heuristic algorithms are widely used in various optimization tasks due to their excellent performance on complex problems…”
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  9. 9

    Visualising forecasting algorithm performance using time series instance spaces by Kang, Yanfei, Hyndman, Rob J., Smith-Miles, Kate

    ISSN: 0169-2070, 1872-8200
    Published: Elsevier B.V 01.04.2017
    Published in International journal of forecasting (01.04.2017)
    “…It is common practice to evaluate the strength of forecasting methods using collections of well-studied time series datasets, such as the M3 data. The question…”
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  10. 10

    Optimization of Nonlinear Parameters of Muskingum NL5 model With SHO algorithm by Saeid Khalifeh, Seyyed Alireza Esmaili, Kazem Esmaili, Saeed Reza Khodashenas

    ISSN: 2588-5952, 2588-5960
    Published: Shahid Chamran University of Ahvaz 01.10.2022
    Published in ʻUlūm va muhandisī-i ābyārī (01.10.2022)
    “…The Muskingum method was first developed by U.S. Army engineers to study flood control in the Muskingum River Basin in Ohio. To evaluate the performance of the…”
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  11. 11

    Best practices for comparing optimization algorithms by Beiranvand, Vahid, Hare, Warren, Lucet, Yves

    ISSN: 1389-4420, 1573-2924
    Published: New York Springer US 01.12.2017
    Published in Optimization and engineering (01.12.2017)
    “…Comparing, or benchmarking, of optimization algorithms is a complicated task that involves many subtle considerations to yield a fair and unbiased evaluation…”
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  12. 12

    Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites by Brockhoff, Dimo, Auger, Anne, Hansen, Nikolaus, Tušar, Tea

    ISSN: 1530-9304, 1530-9304
    Published: United States 01.06.2022
    Published in Evolutionary computation (01.06.2022)
    “…Several test function suites are being used for numerical benchmarking of multiobjective optimization algorithms. While they have some desirable properties,…”
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  13. 13

    Comparing machine learning algorithms by union-free generic depth by Blocher, Hannah, Schollmeyer, Georg, Nalenz, Malte, Jansen, Christoph

    ISSN: 0888-613X, 1873-4731
    Published: Elsevier Inc 01.06.2024
    “…We propose a framework for descriptively analyzing sets of partial orders based on the concept of depth functions. Despite intensive studies in linear and…”
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  14. 14

    Performance of Redirected Walking Algorithms in a Constrained Virtual World by Hodgson, Eric, Bachmann, Eric, Thrash, Tyler

    ISSN: 1077-2626, 1941-0506, 1941-0506
    Published: United States IEEE 01.04.2014
    “…Redirected walking algorithms imperceptibly rotate a virtual scene about users of immersive virtual environment systems in order to guide them away from…”
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  15. 15

    Constructing Bayesian optimal designs for discrete choice experiments by simulated annealing by Mao, Yicheng, Kessels, Roselinde, van der Zanden, Tom C.

    ISSN: 1755-5345
    Published: Elsevier Ltd 01.06.2025
    Published in Journal of choice modelling (01.06.2025)
    “…Discrete choice experiments (DCEs) investigate the attributes that influence individuals’ choices when selecting among various options. To enhance the quality…”
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  16. 16

    Intelligent performance enhancement of flue gas waste heat recovery in combined low-temperature economizer – Air heater systems by Li, Huaan, Wei, Dongliang, Wu, Yajie, Zhou, Tianxing, Zhou, Hao

    ISSN: 0957-5820
    Published: Elsevier Ltd 01.10.2025
    “…To enhance flue gas waste heat recovery (FGWHR) and address the significant time delay in traditional Proportional-Integral-Derivative control of the…”
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  17. 17

    Heuristics and Metaheuristics for Solving Capacitated Vehicle Routing Problem: An Algorithm Comparison by Muriyatmoko, Dihin, Djunaidy, Arif, Muklason, Ahmad

    ISSN: 1877-0509, 1877-0509
    Published: Elsevier B.V 2024
    Published in Procedia computer science (2024)
    “…The Capacitated Vehicle Routing Problem (CVRP) is an optimization problem that involves arranging vehicle routes while considering vehicle capacity. This…”
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  18. 18

    Optimal Combination of Predictors and Algorithms for Forest Above-Ground Biomass Mapping from Sentinel and SRTM Data by Chen, Lin, Wang, Yeqiao, Ren, Chunying, Zhang, Bai, Wang, Zongming

    ISSN: 2072-4292, 2072-4292
    Published: Basel MDPI AG 01.02.2019
    Published in Remote sensing (Basel, Switzerland) (01.02.2019)
    “…Accurate forest above-ground biomass (AGB) mapping is crucial for sustaining forest management and carbon cycle tracking. The Shuttle Radar Topographic Mission…”
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  19. 19

    Performance evaluation and comparison of commonly used optimization algorithms for natural gas liquefaction processes by Sun, Heng, Geng, Jinliang, Na, Fengyi, Rong, Guangxin, Wang, Chao

    ISSN: 2352-4847, 2352-4847
    Published: Elsevier Ltd 01.11.2022
    Published in Energy reports (01.11.2022)
    “…The genetic algorithm (GA), particle swarm optimization (PSO) algorithm, and BOX algorithm have been used in natural gas liquefaction process optimization…”
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  20. 20

    Machine learning exhibited excellent advantages in the performance simulation and prediction of free water surface constructed wetlands by Guo, Changqiang, Cui, Yuanlai

    ISSN: 0301-4797, 1095-8630, 1095-8630
    Published: England Elsevier Ltd 01.05.2022
    Published in Journal of environmental management (01.05.2022)
    “…Optimizing the design and operation parameters of free water surface constructed wetlands (FWS CWs) in runoff regulation and wastewater treatment is necessary…”
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