Optimizing Pile Bearing Capacity Prediction Using Specific Random Forest Models Optimized by Meta-Heuristic Algorithms for Enhanced Geomechanically Applications [PDF]
Advances in Engineering and Intelligence Systems, 2023 To achieve highly accurate predictions of Pile Bearing Capacity (PBC), the study employs a cutting-edge approach featuring Specific Random Forest (RF) prediction models, strategically enhanced with two potent meta-heuristic algorithms: the Snake ...
Nengyuan Chen
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A Modified Equilibrium Optimizer Using Opposition-Based Learning and Teaching-Learning Strategy
IEEE Access, 2022 Equilibrium Optimizer (EO) is a newly developed intelligent optimization algorithm inspired by control volume mass balance models. EO has been proven to have an excellent solution effect on some optimization problems, with the advantages of ease of ...
Xuefeng Wang +3 more
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Equilibrium constrained optimization problems [PDF]
European Journal of Operational Research, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Birbil, Ş. İlker +3 more
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Application of Improved Equilibrium Optimizer Algorithm to Constrained Optimization Problems [PDF]
Jisuanji kexue yu tansuo, 2023 Aiming at the problems of the equilibrium optimizer algorithm, such as difficult balance between population exploration and exploitation, insufficient information of particle evolution and prematurity, an improved equilibrium optimizer algorithm is ...
LI Shouyu, HE Qing, CHEN Jun
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A hybrid equilibrium optimizer algorithm for multi-level image segmentation
Mathematical Biosciences and Engineering, 2021 Threshlod image segmentation is a classic method of color image segmentation. In this paper, we propose a hybrid equilibrium optimizer algorithm for multi-level image segmentation.
Hong Qi +3 more
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Imitators and Optimizers in Cournot Oligopoly [PDF]
, 2004 We present a formal model of symmetric n-firm Cournot oligopoly with a heterogeneous population of profit optimizers and imitators. Imitators mimic the output decision of the most successful firms of the previous round a la Vega-Redondo (1997 ...
Burkhard Schipper
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Equilibrium Optimizer for Emotion Classification From English Speech Signals
IEEE Access, 2023 Speech emotion recognition and its precise classification are challenging tasks that heavily depend on the quality of feature extraction and selection for speech signals.
Liya Yue +3 more
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Applied Artificial Intelligence, 2021 Finding relevant information from biological data is a critical issue for the study of disease diagnosis, especially when an enormous number of biological features are involved. Intentionally, the feature selection can be an imperative preprocessing step
Jingwei Too, Seyedali Mirjalili
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An Efficient Binary Equilibrium Optimizer Algorithm for Feature Selection
IEEE Access, 2020 Feature selection (FS) is a classic and challenging optimization task in the field of machine learning and data mining. An equilibrium optimizer (EO) is a novel physics-based optimization algorithm; it was inspired by controlled volume mass balance ...
Yuanyuan Gao, Yongquan Zhou, Qifang Luo
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Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm
Mathematics, 2022 This paper introduces a novel physical-inspired metaheuristic algorithm called “Light Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the proposed algorithm is the light dispersions with different angles while passing ...
Mohamed Abdel-Basset +3 more
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