Multi-objective coordinated control and optimization for photovoltaic microgrid scheduling by Da Yu, Kai Hou, Xu Lin, Guoyang Cai, Xin Shan, Weihua Wang

“…This paper proposes a multi-objective coordinated control and optimization system for PV microgrids. To address the challenges of slow convergence and local optima in traditional PV microgrid scheduling methods, this study introduced an improved multiple objective particle swarm optimization (IMOPSO) algorithm that integrates an adaptive inertia weight adjustment strategy based on optimal similarity and a multi-directional iterative Pareto solution archive update mechanism. …”
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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. …”
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Forecasting of energy-related carbon dioxide emission using ANN combined with hybrid metaheuristic optimization algorithms by Hossein Moayedi, Azfarizal Mukhtar, Nidhal Ben Khedher, Isam Elbadawi, Mouldi Ben Amara, Quynh TT, Nima Khalilpoor

“…Multilayer perceptrons (MLP) are combined with various nature-inspired optimization algorithms, such as Heap-Based Optimizer (HBO), Teaching-Learning-Based Optimization (TLBO), Whale Optimization Algorithm (WOA), Vortex Search algorithm (VS), and Earthworm Optimization Algorithm (EWA), to create a dependable predictive network that takes the complexity of the problem into account. …”
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A multi task learning framework using DeBERTa and BWO optimization for enhancing long term english vocabulary memory by Jiasheng Zhu

“…This paper uses DeBERTa (Decoding-enhanced BERT with disentangled attention) to perform word part-of-speech classification and meaning matching, and uses BWO (Beluga Whale Optimization) to optimize hyperparameters and loss weights to alleviate the problem of memory decay and improve the depth and complexity of English word memory. …”
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Vehicle Attitude Control of Magnetorheological Semi-Active Suspension Based on Multi-Objective Intelligent Optimization Algorithm by Kailiang Han, Yiming Hu, Dequan Zeng, Yinquan Yu, Lei Xiao, Jinwen Yang, Weidong Liu, Letian Gao

“…A multi-objective intelligent optimization algorithm-based attitude control strategy for magnetorheological semi-active suspension is proposed to address the vehicle attitude imbalance generated during steering and braking. …”
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Aging Prediction of IGBT Based on Improved Support Vector Regression by Zhengxiong CHEN, Mahemuti PAZILAI, Wei SHEN

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Prediction-Based Distributed State Estimation Control for IoT-Enabled Train Positioning Systems by L. Ponnarasi, P. B. Pankajavalli, Y. Lim, R. Sakthivel, Sultan Alfarhood, Mejdl Safran

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Research on Bearing Fault Diagnosis Method Based on MESO-TCN by Ruibin Gao, Jing Zhu, Yifan Wu, Kaiwen Xiao, Yang Shen

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Energy management strategy for methanol hybrid commercial vehicles based on improved dung beetle algorithm optimization. by Zhihao Li, Ping Xiao, Jiabao Pan, Wenjun Pei, Aoning Lv

“…In order to solve the problem of poor adaptability and robustness of the rule-based energy management strategy (EMS) in hybrid commercial vehicles, leading to suboptimal vehicle economy, this paper proposes an improved dung beetle algorithm (DBO) optimized multi-fuzzy control EMS. …”
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Fuzzy Guiding of Roulette Selection in Evolutionary Algorithms by Krzysztof Pytel

“…The algorithm can be an effective tool in solving a wide range of optimization problems, for example, optimization of computer network infrastructure.…”
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A centerline symmetry and double-line transformation based algorithm for large-scale multi-objective optimization by Xiangjuan Wu, Yuping Wang, Ziqing Wang

“…In this paper, to tackle this challenge, we develop a new algorithm based on a weighted optimization framework with two effective strategies. …”
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Current-to-Best Crossover for Modified Jaya Algorithm by Sandeep Kumar Mogha, Sonal Deshwal, Pravesh Kumar

“…The Jaya algorithm is a recently designed metaheuristics and has been verified for its good performance in solving various engineering and scientific optimization applications. …”
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Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

“…It is a laborious task that usually requires deep knowledge of the hyperparameter optimizations methods and the Machine Learning algorithms. …”
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Metaheuristic Optimization of Wind Turbine Airfoils with Maximum-Thickness and Angle-of-Attack Constraints by Jinane Radi, Jesús Enrique Sierra-García, Matilde Santos, Carlos Armenta-Déu, Abdelouahed Djebli

“…The drag and lift coefficients are estimated, and a metaheuristic optimization technique, genetic algorithm, is applied to maximize the glide ratio while reducing the difference from the desired design parameters. …”
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Artificial Afterimage Algorithm: A New Bio-Inspired Metaheuristic Algorithm and Its Clustering Application by Murat Demir

“…In this study, a new, metaheuristic method called the afterimage algorithm is proposed. The proposed method was developed inspired by the fact that when we close our eyes after looking at a luminous image for a while, the vision still occurs in our minds. …”
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Multi-objective layout optimization of hospital outpatient clinics based on NSGA II by Yanlin Zhao, Jiamei Gu

“…Abstract This study utilizes an improved NSGA-II algorithm to conduct a multi-objective optimization of the hospital outpatient department layout. …”
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Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection by Daihong Jiang, Zhixiang Chen, Sanyou Zhang, Yunfei Li, Lu Zhao

“…The proposed model enhances the structural expressiveness of the sparse component while preserving the global low-rank structure. To solve the resulting optimization problem efficiently, we develop a tailored algorithm based on operator splitting techniques, significantly improving computational efficiency without sacrificing accuracy. …”
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A Study on Container Storage Optimization in Yards Based on a Hyper-Heuristic Algorithm with a Q-Learning Mechanism by Lifen Chen, Jiajun Lin, Shihao Xu

“…The objective is to minimize the carbon emissions and the number of container rehandling operations in ports, for which a mixed-integer linear programming model is built. Both heuristic algorithms and hyper-heuristic algorithms are employed to optimize the container storage plan, and their applicability in storage optimization is compared. …”
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Joint Optimization of Caching and Recommendation with Performance Guarantee for Effective Content Delivery in IoT by Zhiyong Liu, Hong Shen, Hui Tian

“…We prove that this problem has a monotonically increasing and submodular objective function and develop an efficient algorithm that achieves a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>−</mo><mstyle scriptlevel="0" displaystyle="true"><mfrac><mn>1</mn><mi>e</mi></mfrac></mstyle><mo>≈</mo><mn>0.63</mn></mrow></semantics></math></inline-formula> approximation ratio to the optimal solution. …”
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Coverage optimization of wireless sensor network utilizing an improved CS with multi-strategies by Sen-Yu Yang, Chang-Feng Chen, Kai-Qing Zhou, Yun Ou

“…For WSN coverage optimization, the ICS-MS algorithm outperforms comparative algorithms. …”
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