Hybrid machine learning and optimization method for solar irradiance forecasting DOI
Chaoyang Zhu, Mengxia Wang,

Mengxing Guo

и другие.

Engineering Optimization, Год журнала: 2024, Номер unknown, С. 1 - 36

Опубликована: Сен. 4, 2024

Язык: Английский

Forecasting wholesale prices of yellow corn through the Gaussian process regression DOI
Bingzi Jin, Xiaojie Xu

Neural Computing and Applications, Год журнала: 2024, Номер 36(15), С. 8693 - 8710

Опубликована: Март 1, 2024

Язык: Английский

Процитировано

169

SEB-ChOA: an improved chimp optimization algorithm using spiral exploitation behavior DOI

Leren Qian,

Mohammad Khishe, Yiqian Huang

и другие.

Neural Computing and Applications, Год журнала: 2023, Номер 36(9), С. 4763 - 4786

Опубликована: Дек. 19, 2023

Язык: Английский

Процитировано

29

Enhancing Robot Path Planning through a Twin-Reinforced Chimp Optimization Algorithm and Evolutionary Programming Algorithm DOI Creative Commons
Yang Zhang,

Hu Zhang

IEEE Access, Год журнала: 2023, Номер unknown, С. 1 - 1

Опубликована: Ноя. 30, 2023

The importance of efficient path planning (PP) cannot be overstated in the domain robots, as it involves utilization intelligent algorithms to determine optimal trajectory for robot navigate between two given points.The main target PP is potential trajectories operating a complex environment containing various obstacles.The implementation these movements should facilitate traversing without encountering any collisions, starting from its initial location and reaching intended destination.In order address challenges associated with PP, this study applies chimp optimization algorithm (CHOA) local searching (LS) technique evolutionary programming (EPA) enhance route discovered via collection LSs.In CHOA's tendency converge minima, new updating called twin-reinforced (TR) developed.In assess effectiveness TRCHOA, we conducted comparative analysis other widely used meta-heuristic that are typically employed solving problems.Additionally, included conventional probabilistic roadmap method (PRM) our evaluation.We evaluated performances on standardized set benchmark problems.Our findings indicate TRCHOA outperforms terms performance.The evaluation encompasses several key criteria, namely length, consistency scheduled paths, time complexity, rate success.The experiments provide evidence statistically significant value enhancements obtained through proposed method.The derived compelling capacity accurately most within specified test map.

Язык: Английский

Процитировано

25

A multifactor hybrid model for carbon price interval prediction based on decomposition-integration framework DOI
Guozhong Zheng, Kang Li,

Xuhui Yue

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 363, С. 121273 - 121273

Опубликована: Июнь 7, 2024

Язык: Английский

Процитировано

16

Improving soil moisture prediction with deep learning and machine learning models DOI
Fitsum T. Teshome, Haimanote K. Bayabil, Bruce Schaffer

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 226, С. 109414 - 109414

Опубликована: Сен. 14, 2024

Язык: Английский

Процитировано

15

Enhancing the exploitation of natural resources for green energy: An application of LSTM-based meta-model for aluminum prices forecasting DOI
Moses Olabhele Esangbedo, Blessing Olamide Taiwo, Hawraa H. Abbas

и другие.

Resources Policy, Год журнала: 2024, Номер 92, С. 105014 - 105014

Опубликована: Май 1, 2024

Язык: Английский

Процитировано

14

Dynamic prediction and optimization of tunneling parameters with high reliability based on a hybrid intelligent algorithm DOI
Hongyu Chen,

Qiping Geoffrey Shen,

Mirosław J. Skibniewski

и другие.

Information Fusion, Год журнала: 2024, Номер unknown, С. 102705 - 102705

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

11

Optimizing the sustainable performance of public buildings: A hybrid machine learning algorithm DOI
Wen Xu,

Xianguo Wu,

Shishu Xiong

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 135283 - 135283

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2

Unveiling Differential Impacts of Multidimensional Urban Morphology on Heat Island Effect Across Local Climate Zones: Interpretable CatBoost-SHAP Machine Learning Model DOI
Qiqi Liu,

Hang Tian,

Yunfei Wu

и другие.

Building and Environment, Год журнала: 2025, Номер unknown, С. 112574 - 112574

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Advanced Machine Learning for Precise Prediction of Biochar’s Heavy Metal Sorption Efficiency DOI Creative Commons
Raouf Hassan,

Ziba Behtouei,

Alireza Baghban

и другие.

Journal of Hazardous Materials Advances, Год журнала: 2025, Номер unknown, С. 100739 - 100739

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

1