Cluster Partitioning Method for High-PV-Penetration Distribution Network Based on mGA-PSO Algorithm by Zhu Liu, Guowei Guo, Dehuang Gong, Lingfeng Xuan, Feiwu He, Xinglin Wan, Dongguo Zhou

“…To tackle the issues of scattered distributed photovoltaic access points and unbalanced cluster partitioning scales, an iterative clustering partitioning method is proposed, a which integrates micro-evolution genetic algorithm and particle swarm optimization (mGA-PSO). …”
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Application of an improved ant colony algorithm based on unevenly distributed pheromone and multi-objective optimization in path planning for unmanned surface vehicles by Guobing XIE, Wei HE, Wangwen HU, Yixin Su, Binghua SHI

“…ObjectiveTo address the challenges of path planning for unmanned surface vehicles in complex waters, this paper proposes an improved ant colony optimization（ACO）algorithm based on uneven distributed pheromone and multi-objective optimization.MethodsFirst, a probabilistic roadmap method (PRM) is used to generate an initial path. …”
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Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach by Jun Zhang, Jinpeng Cheng, Cuiping Liu, Qiang Wu, Shuping Xiong, Hao Yang, Shenglong Chang, Yuanyuan Fu, Mohan Yang, Shiyu Zhang, Guijun Yang, Xinming Ma

“…The Leaf Area Index (LAI) is a crucial structural parameter linked to the photosynthetic capacity and biomass of crops. While integrating machine learning algorithms with spectral variables has improved LAI estimation over large areas, excessive input parameters can lead to data redundancy and reduced generalizability across different crop species. …”
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An improved multiobjective evolutionary algorithm for time-dependent vehicle routing problem with time windows by Jia-ke Li, Jun-qing Li, Ying Xu

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A Vehicle Path Planning Algorithm Based on Mixed Policy Gradient Actor-Critic Model with Random Escape Term and Filter Optimization by Wei Nai, Zan Yang, Daxuan Lin, Dan Li, Yidan Xing

“…In addition, filter optimization has been innovatively introduced in this paper, and the step size of each iteration of the model is selected through the filter optimization algorithm to achieve the better iterative effect. …”
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Vehicle scheduling optimization for demand responsive transit with flexible stops by SHEN Zikang, JIN Wenzhou, ZHENG Yajing

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Sensor Field Segmentation and Parameter Optimization for Electrical Capacitance Tomography System by ZHANG Jin-rong, WANG Li-li, YANG Bo-Tao, LIU Xiao

“…From the comparative analysis of the experimental results，the accuracy of the reconstructed image of the sensor designed by orthogonal experiment is higher than that of the reference sensor，while the imagingeffect of the sensor optimized by ＲBF neural network and chaotic simulated annealing particle swarm optimization algorithm is better than the orthogonal experimental design. …”
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Efficiently Automating Covering Array Generation: A Model Checking and Metaheuristic Algorithm Approach by Sajad Esfandyari, Davar Giveki, Amir Rastegarnia, Ali Farzamnia, Hua Zheng

“…The GROOVE model checker extracts parameters and their values, which are then optimized by the BBO and GA algorithms to generate a minimal and effective test suite. …”
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Geospatial parametric approach for identifying optimal sites for wind-solar hybrid energy systems by Nyange Augustine Mbufua, Pascalin Tiam Kapen, François Ngapgue, Armand Nzeukou Takougang

“…However, it requires a careful and optimized selection of the installation site to fully harness the available energy resources. …”
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A Design-Oriented Model for Transmission Loss Optimization in Marine DOCs by Jan Kašpar, Francesco Mauro, Marco Biot, Giovanni Rognoni, Giada Kyaw Oo D’Amore

“…This study aims to develop an ad hoc optimization methodology that uses combined Computational Fluid Dynamics (CFD)–Finite Element Method (FEM) simulations, surrogate models, and Genetic Algorithms to optimize the acoustic properties of EGCSs while considering the limits imposed by the efficiency of chemical reactions for the abatement of NO_x and SO_x. …”
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Evolutionary Topological Optimization Method for Local Rib Addition in Single-Layer Shell Structures by WANG Rungu, DONG Xiao, GONG Jinghai

“…Using steel consumption as the evaluation index, a topological optimization method based on the evolutionary structural optimization algorithm is proposed for single-layer reticulated shell structures. …”
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Hidden-layer configurations in reinforcement learning models for stock portfolio optimization by Patrick Kevin Aritonang, Sudarso Kaderi Wiryono, Taufik Faturohman

“…These findings suggest that the effectiveness of hidden-layer configurations depends on the specific algorithm used. While A2C and DDPG benefit from increased complexity, simpler architectures may be more suitable for PPO and TD3. …”
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Unveiling the optimal factor model in Pakistan: a machine learning approach using support vector regression and extreme gradient boosting algorithms by Rizwan Ullah, Muhammad Naveed Jan, Muhammad Tahir

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Research on the connectivity reliability analysis and optimization of natural gas pipeline network based on topology by Xiuxuan Yang, Kun Chen, Minghui Liu

“…Second, an adaptive genetic algorithm (AGA) is designed to optimize network topology, dynamically adjusting crossover and mutation rates (0.8≤ $$\:{p}_{c}$$ ≤0.01, 0.01≤ $$\:{p}_{m}$$ ≤ 0.8) based on population diversity, while enforcing constraints through penalty functions (node degree $$\:{k}_{max}$$ =4, pipeline length $$\:{l}_{max}$$ =120 km). …”
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Efficient feature selection for histopathological image classification with improved multi-objective WOA by Ravi Sharma, Kapil Sharma, Manju Bala

“…To mine optimal feature sets, the suggested technique makes use of a unique variation known as the enhanced multi-objective whale optimisation algorithm. …”
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Advanced control and optimization techniques for DFIG wind energy systems: A case study using pelican algorithm and CTID-PID controller by P. V. S. S. A. Parimala, Narendra Babu P

“…The RSC is controlled using the pelican optimization technique, a nature-inspired algorithm that effectively tunes control parameters to achieve optimal dynamic response and minimize power losses, enabling maximum wind power capture while maintaining stability. …”
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UAVRM-A*: A Complex Network and 3D Radio Map-Based Algorithm for Optimizing Cellular-Connected UAV Path Planning by Yanming Chai, Yapeng Wang, Xu Yang, Sio-Kei Im, Qibin He

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An Enhanced NSGA-II Algorithm with Parameter Categorization for Computational-Efficient Multi-Objective Optimization of Active Glass Curtain Wall Shading Systems by Dezhao Tang, Zhiyong Wang

“…To address the limitations of the Non-Dominated Sorting Genetic Algorithm (NSGA-II) in optimizing active glass curtain wall shading systems—particularly its suboptimal convergence efficiency and high computational demands—this study proposes an improved NSGA-II algorithm incorporating parameter categorization. …”
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Integrating Bioengineering and Machine Learning: A Multi-Algorithm Approach to Enhance Agricultural Sustainability and Resource Efficiency by Senthil G.A., Prabha R., Asha R.M., Suganthi S.U., Sridevi S.

“…The novel research incorporates high-level machine learning algorithms for optimizing agricultural performance regarding sustainability and resource efficiencies. …”
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Integrative electricity need prediction utilizing enhanced squeeze net and flexible Coyote optimization algorithm A combination of RCPs SSPs and socioeconomic by Bin Yang, Bin Song, Yadegar Abdi

“…The effectiveness of the compact network is increased by using the Flexible Coyote Optimization Algorithm (FCOA), which plays a vital role in optimizing parameters and accelerating convergence. …”
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