Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment by Xiaolong Jiao, Wen Xu, Lintong Duan

“…The experimental results show that compared with the methods based on ALNS, genetic algorithm, and quantum bacterial foraging optimization algorithm, the research method can bring the best comprehensive benefit by accomplishing the fruit and vegetable transportation task in the shortest time at the lowest cost, and the research goal is thus achieved.…”
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Robust Power Designing of Supplementary Damping Controller in VSC HVDC System to Improve Energy Conversion Efficiency of Wind Turbine and Power System Stability by A. Hamidi, J. Beiza, T. Abedinzadeh, A. Daghigh

“…The SDC is designed using a fractional-order PID controller (FOPID) based on the multiobjective bat-genetic algorithm (MOBGA). The simulation results show that the proposed control strategy effectively works in minimizing the torsional and electromechanical oscillations in power system and optimizing the energy conversion efficiency in the wind turbine.…”
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Joint Optimization of Regular Charging Electric Bus Transit Network Schedule and Stationary Charger Deployment considering Partial Charging Policy and Time-of-Use Electricity Price... by Xinghua Li, Tianzuo Wang, Lingjie Li, Feiyu Feng, Wei Wang, Cheng Cheng

“…A solving procedure based on the improved adaptive genetic algorithm (AGA) is further designed and a transit network at inner Anting Town, Shanghai, with 8 individual bus routes and 867 daily service trips is adopted for the model validation. …”
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Constructing Better Classifier Ensemble Based on Weighted Accuracy and Diversity Measure by Xiaodong Zeng, Derek F. Wong, Lidia S. Chao

“…The measure is compared to two representative measures, Kappa-Error and GenDiv, and two threshold measures that consider only accuracy or diversity, with two heuristic search algorithms, genetic algorithm, and forward hill-climbing algorithm, in ensemble selection tasks performed on 15 UCI benchmark datasets. …”
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Practice of an improved many-objective route optimization algorithm in a multimodal transportation case under uncertain demand by Tianxu Cui, Ying Shi, Jingkun Wang, Rijia Ding, Jinze Li, Kai Li

“…In this paper, we develop, for the first time, a many-objective multimodal transportation route optimization (MTRO) model that simultaneously considers economic cost, carbon emission cost, time cost, and customer satisfaction, and we solve it via the nondominated sorting genetic algorithm version III (NSGA-III). Second, to further improve the convergence performance, we introduce a fuzzy decision variable framework to improve the NSGA-III algorithm. …”
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Accelerated photonic design of coolhouse film for photosynthesis via machine learning by Jinlei Li, Yi Jiang, Bo Li, Yihao Xu, Huanzhi Song, Ning Xu, Peng Wang, Dayang Zhao, Zhe Liu, Sheng Shu, Juyou Wu, Miao Zhong, Yongguang Zhang, Kefeng Zhang, Bin Zhu, Qiang Li, Wei Li, Yongmin Liu, Shanhui Fan, Jia Zhu

“…Here, using a synergistic genetic algorithm and machine learning, we propose and demonstrate a coolhouse film that regulates temperature and water for photosynthesis without requiring additional energy or water. …”
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The Node Arrangement Methodology of Wireless Sensor Networks for Long-Span Bridge Health Monitoring by Guang-Dong Zhou, Ting-Hua Yi

“…An improved general genetic algorithm is proposed to configure sensor nodes, and a nonuniform node arrangement method is developed to distribute relay nodes. …”
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A novel dynamic vibration absorber for vibration control of piping systems under multi-frequency harmonic excitations by Lihang Yin, Wei Xu, Zechao Hu, Liantao Xiao

“…When there is a notable difference in the intensities of the multi-frequency vibration line spectra, a genetic algorithm is utilized to optimize the mass allocation of the resonant units. …”
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Allocation of Interline Power Flow Controller-Based Congestion Management in Deregulated Power System by Muhammad Safdar Sial, Qinghua Fu, Talles Vianna Brugni

“…By examining the obtained results, the performance of the proposed algorithm is better than the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms. …”
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Multi-Focus Image Fusion Using Energy Valley Optimization Algorithm by Harun Akbulut

“…The obtained experimental results are compared with the well-known Genetic Algorithm (GA), Differential Evolution Algorithm (DE), and Artificial Bee Colony Optimization Algorithm (ABC). …”
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Prediction and design optimization of mechanical properties for rubber fertilizer hose reinforced with helically wrapped nylon by Mengfan Wang, Lixin Zhang, Changxin Fu

“…Finally, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) was employed for optimization design. …”
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Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm by Yang Cao, Jun Yu, Rui Zhong, Masaharu Munetomo

“…AE-GAPB integrates a genetic algorithm (GA) at the high-level component and employs particle swarm optimization (PSO) and the bat algorithm (BA) at the low-level component. …”
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Multiobjective Electric Vehicle Charging Network Planning Considering Chance-Constraint on the Travel Distance for Charging by Yunxiang Guo, Xinsong Zhang, Daxiang Li, Chenghong Gu, Cheng Lu, Ting Ji, Yue Wang

“…The nondominated sorting genetic Algorithm II with the constraint domination principle (NSGA-II-CDP) is customized to solve the developed multiobjective EVCN planning model, by designing a special coding scheme, a crossover operator, and a mutation operator. …”
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Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Plantar Pressure by Xugang Xi, Wenjun Jiang, Zhong Lü, Seyed M. Miran, Zhi-Zeng Luo

“…A feature-level fusion method, named as the global canonical correlation analysis of weighting genetic algorithm, was proposed to reduce dimensions. For the problem in which the number of daily activities is considerably more than the number of fall activities, Weighted Kernel Fisher Linear Discriminant Analysis (WKFDA) was proposed to classify gait and fall. …”
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Collaborative Optimization of Aerodynamics and Wind Turbine Blades by Fushan He, Xingsheng Zheng, Weilin Luo, Jianfeng Zhong, Yunhua Huang, Aili Ye, Rongrong Qiu, Huafu Ma

“…A collaborative optimization framework is set up on the Isight platform, employing a genetic algorithm to find the optimal solution for the blade’s aerodynamics and structural properties. …”
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Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning by Dongbao Jia, Weixiang Xu, Dengzhi Liu, Zhongxun Xu, Zhaoman Zhong, Xinxin Ban

“…Eight learning algorithms including traditional backpropagation, classic evolutionary algorithms such as biogeography-based optimization, particle swarm optimization, genetic algorithm, population-based incremental learning, competitive swarm optimization, differential evolution, and state-of-the-art jSO algorithm are used for training of dendritic neuron model. …”
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Improved Set-point Tracking Control of an Unmanned Aerodynamic MIMO System Using Hybrid Neural Networks by Oduetse Matsebe, David Mohammed Ezekiel, Ravi Samikannu

“…ANN as a Hybrid intelligent control strategy of ANN in combination with Pattern Search and Genetic Algorithm, is then utilized to optimize the parameters of the neural networks. …”
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PAPR Reduction Using Fireworks Search Optimization Algorithm in MIMO-OFDM Systems by Lahcen Amhaimar, Saida Ahyoud, Ali Elyaakoubi, Abdelmoumen Kaabal, Kamal Attari, Adel Asselman

“…Moreover, it turns out from the results that the proposed PTS scheme-based FWA clearly outperforms the hottest and most important evolutionary algorithm in the literature like simulated annealing (SA), particle swarm optimization (PSO), and genetic algorithm (GA).…”
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Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing load by Xiao Han, Jingru Ye, Shaoqiang Hou, Wenbin Hou

“…The non-dominated sorting genetic algorithm II (NSGA-II) was introduced to search for global optimum solution, and radial basis function (RBF) approximations for the objective functions were applied to reduce the computational cost. …”
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A New Method for the Calibration of Site-Related Response Spectra by Xin Han, Shun Yang, Jingshan Bo, Chaoyu Chang, Mei Guo, Yimeng Cai

“…Combined with a genetic algorithm, the control parameters of the seismic acceleration response spectrum are calibrated according to the determined new design spectral shape. …”
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