Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model by Heng Cao, Qianhui Gao

“…This paper studies the optimization algorithm and optimization system, it not only makes the algorithm involve basic mathematical operations, and the computer support required for the data processing process is not high, but it also improves the evaluation of the degree of optimization. …”
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Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting by Reham H. Mohammed, Asmaa Mohamed El-saieed

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Multi-objective optimization of cushion gas design in underground gas storage using machine learning by Mohaddeseh Ahmadi Aghdam, Maryam Fazaeli, Mahdi Kanaani, Behnam Sedaee

“…To address the computational cost of dynamic simulation, a proxy model was developed using three regression algorithms: SVR, XGBoost, and MLNN. …”
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Benchmarking validity indices for evolutionary K-means clustering performance by Abiodun M. Ikotun, Faustin Habyarimana, Absalom E. Ezugwu

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Adaptive Quantum-Inspired Evolution for Denoising PCG Signals in Unseen Noise Conditions by Lubna Siddiqui, Ashish Mani, Jaspal Singh

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ESTIMATION OF MAXIMUM LIKELIHOOD WEIGHTED LOGISTIC REGRESSION USING GENETIC ALGORITHM (CASE STUDY: INDIVIDUAL WORK STATUS IN MALANG CITY) by Dahlia Gladiola Rurina Menufandu, Rahma Fitriani, Eni Sumarminingsih

“…The maximum likelihood parameter estimator value is obtained using an optimization approach.  The Genetic algorithm is an optimization computational algorithm that is used to optimize the estimation of model parameters. …”
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Bi-directional virtual search algorithm for efficient and collision-free path planning in autonomous robots navigating static and dynamic environments by M.D. Yeshwanth Kumar, K. Rajchandar

“…The proposed model achieved a path efficiency improvement of 17.9 % and a computational time reduction of 23.4 % compared to traditional A* and Dijkstra’s algorithms. …”
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A MapReduce-Based Parallel Frequent Pattern Growth Algorithm for Spatiotemporal Association Analysis of Mobile Trajectory Big Data by Dawen Xia, Xiaonan Lu, Huaqing Li, Wendong Wang, Yantao Li, Zili Zhang

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Multi-stage bidirectional informed-RRT * plant protection UAV path planning method based on A * algorithm domain guidance by Jian Li, Jian Li, Yuan Gao, Yuan Gao, Zheng Li, Zheng Li, Weijian Zhang, Weijian Zhang, Weilin Yu, Weilin Yu, Yating Hu, He Liu, Changtian Li

“…Experimental results show that, compared to traditional RRT* and its improved variants, the proposed algorithm reduces computation time by 56.3%–92.5% and shortens path length by 0.42%–8.5%, while also demonstrating superior path smoothness and feasibility, as well as a more balanced distribution of search nodes. …”
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Algoritmo genético aplicado a la programación en talleres de maquinado//Genetic algorithm applied to scheduling in machine shops by José Eduardo Márquez-Delgado, Ricardo Lorenzo Ávila-Rondón, Miguel Ángel Gómez-Elvira-González, Carlos Rafael Herrera-Márquez

“…This problem is considered to be a difficult solution and is typical in combinatory optimization. The results demonstrate the quality of the solutions found in correspondence with the time of used computation, when being compared with classic problems reported by other authors.…”
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Hybrid particle swarm optimization and semi-supervised extreme learning machine for cellular network localization by Fagui Liu, Hengrui Qin, Xin Yang, Yi Yu

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Information-Driven Model Predictive Control With Adaptive Partitioning for Energy Optimization in Automated Electric Vehicles by Shahriar Shahram, Yaser P. Fallah

“…These convex models are integrated into the MPC to compute optimal control inputs that minimize energy consumption while satisfying vehicle dynamics and constraints. …”
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Multiobjective Strategy for Optimized Load Breaker Switch Placement to Improve Distribution Network Performance and Reliability by Mohammad Ebrahim Hajiabadi, Hossein Parsadust, Hossein Lotfi, Sajjad Borhani Yazdi, Hossein Ramezani

“…To solve this problem, an iterative graph-based search algorithm is employed, which dynamically identifies the optimal locations for switch installation. …”
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Improved Phase Diversity Wavefront Sensing with a Deep Learning-Driven Hybrid Optimization Approach by Yangchen Wang, Ming Wen, Hongcai Ma

“…However, conventional optimization-based PDWS methods often suffer from high computational costs and sensitivity to initial values. …”
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Advanced Optimization of Flowshop Scheduling with Maintenance, Learning and Deteriorating Effects Leveraging Surrogate Modeling Approaches by Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Riyadh Baghdadi

“…We develop and evaluate two distinct strategies for integrating surrogate modeling into the optimization process, leveraging the ABC algorithm. The first strategy uses a Kriging model to dynamically guide the selection of the most effective search operator at each stage of the employed bee phase. …”
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Enhancing Speech Recognition Using Improved Particle Swarm Optimization Based Hidden Markov Model by Lokesh Selvaraj, Balakrishnan Ganesan

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Self-Organized Connectivity Control and Optimization Subjected to Dispersion of Mobile Ad Hoc Sensor Networks by Zhenqiang Mi, Yang Yang, Hao Ding

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Optimizing solar PV systems using fuzzy logic for Climate-Resilient Healthcare infrastructure in Kyrgyzstan by Nivine Guler, Zied Ben Hazem, Ali Gunes

“…To fill this gap, this study develops an intelligent MPPT algorithm that applies the FLC. FLC was chosen because of its ability to control systems having nonlinearities and adverse operating environment without necessarily requiring robust computational power. …”
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Airfoil Optimization Design of Vertical-Axis Wind Turbine Based on Kriging Surrogate Model and MIGA by Quan Wang, Zhaogang Zhang

“…The aerodynamic optimization of the airfoil of vertical-axis wind turbines (VAWTs) is limited by the time-consuming nature of computational fluid dynamics (CFD), resulting in difficulty in the efficient implementation of multi-parameter optimization. …”
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TIM-FEM-ML synthetic technology for longitudinal optimization of tunnel excavated in the interlayered rock mass by Hui Li, Weizhong Chen, Xiaoyun Shu, Xianjun Tan, Qun Sui

“…Despite advancements toward intellectualization and informatization in design optimization and safety assessments, mechanical analysis-based engineering computations still face certain impediments. …”
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