Feature Generation with Genetic Algorithms for Imagined Speech Electroencephalogram Signal Classification by Edgar Lara-Arellano, Andras Takacs, Saul Tovar-Arriaga, Juvenal Rodríguez-Reséndiz

“…The method leverages a genetic algorithm to create an optimal feature combination for the classification task and machine learning model. …”
Get full text

Optimization of dynamic parameters of straddle monorail vehicle to improve pantograph-catenary contact quality by ZHANG Yuejun, YANG Zhen, DU Zixue, WEN Xiaoxia, XU Zhouzhou

“…In order to reduce the abrasion on the sliding block, a sensitivity analysis method was used in this paper to analyze the influence degree of vehicle dynamics parameters on the coupling force of pantograph and catenary based on the dynamic simulation analysis model of "vehicle-pantograph-catenary" system. The average value of the pantograph-catenary contact force was considered as the optimization objective, and dynamics parameters of the vehicle were optimized by non-dominated sorting genetic algorithm (NSGA-II). …”
Get full text

Modeling and Optimization of Co-TDMA in Next-Generation Wi-Fi Systems Based on Optimal Transportation Theory by Junxiong Zhang, Weimin Wu, Xiaohu Ge, Yingzhuang Liu

Get full text

Simplifying Multiproject Scheduling Problem Based on Design Structure Matrix and Its Solution by an Improved aiNet Algorithm by Chunhua Ju, Tinggui Chen

“…The computational results validate the effectiveness of the proposed algorithm comparing with other famous metaheuristic algorithms such as genetic algorithm (GA), simulated annealing algorithm (SA), and ant colony optimization (ACO).…”
Get full text

Minimum Revenue Guarantee and Toll Revenue Cap Optimization for Ppp Highways: Pareto Optimal State Approach by Yuanqing Wang, Zihua Li, Yanan Gao

“…Therefore, the model has an effect on improving the fairness of the risk sharing measures, reducing the financial burden of the investors especially the government, and increasing the investment attraction of the private sectors.…”
Get full text

Design of intelligent control for flexible linear double inverted pendulum based on particle swarm optimization algorithm by De-Xin Zhu, Nan Cui

“…For the problem of control of flexible linear double inverted pendulum (FLDIP), considering that the method of obtaining LQR parameters through traditional manual trial-and-error is too cumbersome, and the basic particle swarm optimization algorithm has a slower convergence speed and is prone to a local optimal solution, in this paper, a control method is proposed that it can achieve autonomous optimization based on improved the particle swarm optimization (PSO) algorithm. …”
Get full text

Improved Phase Diversity Wavefront Sensing with a Deep Learning-Driven Hybrid Optimization Approach by Yangchen Wang, Ming Wen, Hongcai Ma

“…To address these challenges, this paper proposes a hybrid PDWS method that integrates deep learning with nonlinear optimization to improve efficiency and accuracy. The deep learning model provides an initial estimate of wavefront aberrations, which is further refined by the L-BFGS optimization algorithm to achieve high-precision reconstruction. …”
Get full text

Precise motion control for a space mining robot based on improved African vultures optimization by Baiyi Wang, Xinhua Liu, Marek Rydel, Dezheng Hua, Rafal Stanislawski, Hui Wang, Ke Feng, Zhixiong Li

“…Then, the optimal PID motion controller is developed based on the improved African vultures optimization algorithm (IAVOA). …”
Get full text

Medical Image Segmentation Algorithm Based on Optimized Convolutional Neural Network-Adaptive Dropout Depth Calculation by Feng-Ping An, Jun-e Liu

“…In addition, an optimized convolutional neural network model is established. …”
Get full text

Optimization design of internal space layout of three-bedroom residential apartment based on IGA and DE algorithm. by Ling Zhao, Baijun Li

“…To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
Get full text

An optimized feature selection using triangle mutation rule and restart strategy in enhanced slime mould algorithm by Ibrahim Musa Conteh, Gibril Njai, Abass Conteh, Qingguo Du

“…This paper proposes an improved feature selection method based on an improved Slime Mould Algorithm (SMA), called the Triangular Mutation Rule Restart Strategy Slime Mould Algorithm (TRSMA), to overcome some of the shortcomings of the SMA, including premature convergence, poor population diversity, and local optima entrapment. …”
Get full text

An improved preconditioned conjugate gradient method for unconstrained optimization problem with application in Robot arm control by Lawal Muhammad, Mohammad Y. Waziri, Ibrahim Mohammed Sulaiman, Issam A.R. Moghrabi, Aceng Sambas

Get full text

Problems of optimizing the energy consumption of households in the tasks of improving the energy efficiency of the housing sector by G. G. Grebenuk, S. M. Nikishov, A. A. Krygin, L. A. Sereda

“…The aim of the work is to study the problem of optimizing energy consumption and practical application of methods for  improving energy efficiency in the housing sector. …”
Get full text

Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city by Xuechun Zhou, Xiaofei Zou, Wenzuixiong Xiong

“…Adopting a healthy city development perspective, the research aims to assess the impact of green space optimization on urban health, economic performance, and social structure.MethodsA multivariable model was constructed using random forest and Support Vector Machine (SVM) algorithms to evaluate the influence of key indicators on urban green space. …”
Get full text

Dynamic response force control of electrohydraulic servo actuator of active suspension based on intelligent optimization algorithm. by Qinghe Guo, Mengchao Wang, Renjun Liu, Yurong Chen, Shenghuai Wang, Hongxia Wang

“…To address these challenges, a fractional-order PID (FOPID) controller optimization method based on the Multi-Strategy Improved Beluga Whale Optimization (MSIBWO) algorithm is proposed. …”
Get full text

Research on UAV aerial imagery detection algorithm for Mining-Induced surface cracks based on improved YOLOv10 by Jiayong An, Siyuan Dong, Xuanli Wang, Chenlei Li, Wenpei Zhao

Get full text

Research on optimization design method of ship's living compartment layout based on multi-population genetic algorithm by MA Lin, CHEN Dengkai, SHI Hongqi, LIAO Wenyi

“…It combines emergency evacuation needs to establish a compartment layout optimization model. Additionally, adaptive improvements are made to the genetic operations of the multi-population genetic algorithm, enhancing its applicability to the optimization design of multi-layered ship compartments. …”
Get full text

Optimizing snow property forecasts over the tibetan plateau through hybrid assimilation of satellite precipitation and water vapor radiances using WRF model configured with Noah-MP by Jing Ren, Chunlin Huang, Jinliang Hou, Ying Zhang, Ling Yang

Get full text

MULTIDISCIPLINARY DESIGN OPTIMIZATION OF TURBINE STAGE BASED ON IMPROVED BI-LEVEL INTEGRATED SYSTEM SYNTHESIS by ZHANG LiZhang, YIN ZeYong, MI Dong, QIAN ZhengMing, JIA ZhiGang

“…To improve the optimization efficiency of turbine stage optimization,an improved optimization strategy based on Bi-level integrated system synthesis（ BLISS2000） procedure to the multidisciplinary design optimization（ MDO） of turbine stage was proposed. …”
Get full text

An Intelligent 5G Unmanned Aerial Vehicle Path Optimization Algorithm for Offshore Wind Farm Inspection by Congxiao Jiang, Lingang Yang, Yuqing Gao, Jie Zhao, Wenne Hou, Fangmin Xu

“…We propose a novel Sea Wind-Aware Improved A*-Guided Genetic Algorithm (SWA-IAGA), which integrates an improved A* algorithm to guide the genetic algorithm for efficient path planning, with the assistance of relevant graphical knowledge. …”
Get full text