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Metrics for meta-heuristic algorithm evaluation
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004By adopting best practices from quality management in industry, metrics as well as test cycle are proposed to evaluate the performance of meta-heuristic algorithm.
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Nature Inspired Meta-heuristic Optimization Algorithms Capitalized
2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), 2020Nature is an incredible and gigantic wellspring of inspiration for taking care of intense and complex issues in software engineering since it shows very shifted, dynamic, hearty, perplexing and enchanting phenomenon. Nature propelled calculations are meta heuristics that ridicules the nature for taking care of advancement issues opening another age in ...
V. Sureka +3 more
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Dung beetle optimizer: a new meta-heuristic algorithm for global optimization
Journal of Supercomputing, 2022Jiankai Xue, Bo Shen
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Meta-Heuristic Algorithms Based Multi-Level Thresholding
2019 27th Signal Processing and Communications Applications Conference (SIU), 2019Thresholding is a very important stage in computer vision applications. An ideal single thresholding algorithm is not available for all environments. Multi-level thresholding in environments with multiple objects is constantly being developed for interpretation of images. Kapur entropy and Otsu approaches are among the most successful algorithms in the
Busranur Kucukugurlu, Eyup Gedikli
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, 2020
Prefabricated construction has attracted research interest as it can significantly improve the energy, cost, and time efficiency of construction. However, dispatching the required prefabricated components to construction sites in a prefabricated system ...
Jun-qing Li +7 more
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Prefabricated construction has attracted research interest as it can significantly improve the energy, cost, and time efficiency of construction. However, dispatching the required prefabricated components to construction sites in a prefabricated system ...
Jun-qing Li +7 more
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Groundwater Model Calibration by Meta-Heuristic Algorithms
Water Resources Management, 2013Groundwater models are computer models that simulate or predict aquifer conditions by using input data sets and hydraulic parameters. Commonly, hydraulic parameters are extracted by calibration, using observed and simulated aquifer conditions. The accuracy of calibration affects other modeling processes, especially the hydraulic head simulation.
O. Bozorg Haddad +3 more
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Energy, 2018
Short-term load forecasting is of major interest for the restructured environment of the electricity market. Accurate load forecasting is essential for effective power system operation, but electricity load is non-linear with a high level of volatility ...
N. Ghadimi +3 more
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Short-term load forecasting is of major interest for the restructured environment of the electricity market. Accurate load forecasting is essential for effective power system operation, but electricity load is non-linear with a high level of volatility ...
N. Ghadimi +3 more
semanticscholar +1 more source
Applied Mathematical Modelling, 2023
Ai-Qing Tian, Fei-Fei Liu, Hong-Xia Lv
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Ai-Qing Tian, Fei-Fei Liu, Hong-Xia Lv
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Wild horse optimizer: a new meta-heuristic algorithm for solving engineering optimization problems
Engineering computations, 2021Iraj Naruei, F. Keynia
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