Multipath Branch Model-Aided Differential Evolution Algorithm Based on Regional Error by Yang Liu, Yi-Xuan Zhang, Zhong-Chao Lin, Yu-Jia Zou

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CFS-MOES Ensemble Model on Metaheuristic Search-Based Feature Selection by Santosini Bhutia, Bichitrananda Patra, Mitrabinda Ray

“…However, the tremendous dimensionality of the microarray cancer dataset is the greatest challenge in interpreting the data. In this work, the optimal feature subsets are selected by combining the correlation-based feature selection (CFS) technique with five distinct meta-heuristic search methods: evolutionary search (ES), particle swarm optimization search (PSOS), genetic search (GS), harmony search (HS), and multiobject evolutionary search (MOES). …”
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Coordinated Control of PV Generation and EVs Charging Based on Improved DECell Algorithm by Guo Zhao, Xueliang Huang, Hao Qiang

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Design and Research of Skin Injection Molded TPE Materials Based on Genetic Algorithm by Kui Yan, Yizhe Chen, Hui Wang, Cheng Gao, Qiuyang Bai

“…A quality-prediction and multiobjective optimization method based on a genetic algorithm was applied. …”
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System Reliability Evaluation Based on Convex Combination Considering Operation and Maintenance Strategy by Lijie Li, Limin Jia, Yanhui Wang

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Weapon Selection and Planning Problems Using MOEA/D with Distance-Based Divided Neighborhoods by Jian Xiong, Rui Wang, Jiang Jiang

“…Real-world multiobjective optimization problems are characterized by multiple types of decision variables. …”
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Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm by Shui-Hua Wang, Khan Muhammad, Yiding Lv, Yuxiu Sui, Liangxiu Han, Yu-Dong Zhang

“…The proposed TSE-Jaya provides a better performance, compared to the conventional approaches including plain Jaya, multiobjective genetic algorithm, particle swarm optimization, bee colony optimization, modified ant colony system, and real-coded biogeography-based optimization.…”
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Research on object detection and recognition in remote sensing images based on YOLOv11 by Lu-hao He, Yong-zhang Zhou, Lei Liu, Wei Cao, Jian-hua Ma

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A stochastic goal-based economic order quantity model for multi-item inventory by Kizito Mubiru

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Research on Recovery Mechanism and Process of Waste Thermosetting Phenolic Resins Based on Mechanochemical Method by Jian Hu, Huifang Dong, Shouxu Song

“…The present study analyzed the recovery mechanism of the thermosetting phenolic resin waste, optimizing the recovery process parameters, based on the mechanochemical recovery method. …”
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Mechanical Properties of Polypropylene-Fiber-Reinforced High-Performance Concrete Based on the Response Surface Method by Min Song, Nixia Song, Yunlong Zhang, Jing Wang

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Flight Endurance Increasing Technology of New Energy UAV Based on a Strut-Braced Wing by Li Liu, Wencan Bai, Dun Yang

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Numerical and Experimental Analysis of Base Cavity and Windshield Angle for Aerodynamic Drag Reduction of a Bus by Daniel Hailu Aseba, Ramesh Babu Nallamothu, Abraha Kahsay

“…Lastly, by prioritizing the main purpose of the study, the response surface methodology was used to do multiobjective optimization. The best measurements were found to be an 11.54° base cavity angle, a 17° windshield angle, and a tapered base cavity length that was 0.3 times the vehicle’s height (0.3H).…”
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Study of Microstructure and Properties of 316L with Selective Laser Melting Based on Multivariate Interaction Influence by Jianfeng Sun, Lu Shen, Weiqiang Wang, Zhu Liu, Huaming Chen, Jieli Duan

“…As the selective laser melting 316L parts are constrained by multiple performance indexes, the study involves multivariate interaction influenced on the forming parameters such as the angle with the xz plane, the angle with the xy plane, laser power, scan speed, powder thickness, and hatching space on the indexes like tensile strength, density, and surface roughness with linear regression equations based on multiobjective optimization to obtain the best process parameters. …”
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Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme by Ying Nie, He Bo, Weiqun Zhang, Haipeng Zhang

“…Regarding point prediction in the developed double prediction system, a novel nonlinear integration method based on a backpropagation network optimized using the multiobjective evolutionary algorithm based on decomposition was successfully implemented to derive the final prediction results, which enable further improvement of the accuracy of point prediction. …”
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Design of UAVs-Based 3D Antenna Arrays for a Maximum Performance in Terms of Directivity and SLL by Jesus Garza, Marco A. Panduro, Alberto Reyna, Gerardo Romero, Carlos del Rio

“…The synthesis process is carried out by the method of Differential Evolution for Multiobjective Optimization (DEMO). Furthermore, a comparison of the performance of 3D nonuniform antenna arrays is provided with respect to the most conventional arrays (circular, planar, linear, and the cubic) for UAVs formation flight.…”
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A generative model-based coevolutionary training framework for noise-tolerant softsensors in wastewater treatment processes by Yu Peng, Erchao Li

“…Additionally, a dual population coding method inspired by evolutionary computation is proposed, enabling the coevolution of network parameters and structure. The proposed multiobjective evolutionary network optimization with denoising strategy (MENO-D) demonstrated exceptional performance in various experiments. …”
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An Innovative Time-Cost-Quality Tradeoff Modeling of Building Construction Project Based on Resource Allocation by Wenfa Hu, Xinhua He

“…This paper presents a time-cost-quality optimization model that enables managers to optimize multiobjectives. …”
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A Market-Oriented Trading Method for Integrated Community Energy System Based on Hierarchical Stackelberg Game Method by Guofeng Wang, Bei Jiang, Shuai Dong, Jiaqi Liu, Youbing Zhang

“…The model is thoroughly validated through the formulation and solution of a mixed-integer linear program (MILP)–based multiobjective optimization, which not only demonstrates effective strategies for optimizing power dispatch but also enhances economic returns and ensures fast game convergence. …”
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A Semiactive and Adaptive Hybrid Control System for a Tracked Vehicle Hydropneumatic Suspension Based on Disturbance Identification by Shousong Han, Zhiqiang Chao, Xiangbo Liu

“…Optimal scheduling of the semiactive hybrid damping control gain (csky, cground, chybrid) and self-adaptive control gain (cv) under different disturbances were realized by exploiting the particle swarm multiobjective optimization algorithm. …”
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