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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Cost-Efficient LEO Navigation Augmentation Constellation Design under a Constrained Deployment Approach by Jing Ren, Dan Sun, Deng Pan, Mingtao Li, Jianhua Zheng

“…They are solved by the genetic algorithm and differential evolution algorithm, and both Walker and Flower constellations are adopted. …”
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GRAY CORRELATION ANALYSIS OF SURFACE INTEGRITY OF ULTRASONIC-ASSISTED ROLLING GCR15 BEARING STEEL by LEI Jun, SU YongXiang, XU QingJun

“…The ultrasonic-assisted rolling test was used to combine the gray theory,response surface method and genetic algorithm to ultrasonically assisted rolling GCr15 bearing steel. …”
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Optimal Allocation Method of Discrete Manufacturing Resources for Demand Coordination between Suppliers and Customers in a Fuzzy Environment by Wei Xu, Yinyun Yu

“…Next, the bilevel planning model for optimal configuration of manufacturing resources in discrete manufacturing environment is established under the consideration of the respective interests of both the customers and the suppliers, and the fast nondominated sorting genetic algorithm (NSGA-II) is used to solve the model. …”
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A Hybrid Constraints Handling Strategy for Multiconstrained Multiobjective Optimization Problem of Microgrid Economical/Environmental Dispatch by Xin Li, Jingang Lai, Ruoli Tang

“…Then, a hybrid constraints handling strategy (HCHS) based on nondominated sorting genetic algorithm II (NSGAII) is proposed to deal with the typical constraints, by which the constraints violations can be removed in several steps during the evolutionary process. …”
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Multiobjective Optimization Design of Truss Antenna by Di Wu, Xiaofei Ma, Jinbao Chen, Chuanzhi Chen, Jiang Zhao, Kunyang Lin

“…Finally, tolerance optimization is carried out by using the multiobjective genetic algorithm. The results indicate that the Pareto solution is obtained with an error less than 10%. …”
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GLBR: A novel global load balancing routing scheme based on intelligent computing in partially disconnected wireless sensor networks by Zeyu Sun, Guisheng Liao, Cao Zeng, Lan Lan, Guozeng Zhao

“…Second, we adopt the genetic algorithm to build extra routing between different segments for intersegment load balancing. …”
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Approach for designing and modelling of nanoscale DG MOSFET devices using Kriging metamodelling technique by Toufik Bentrcia, Fayçal Djeffal, Elasaad Chebaki

“…It is also shown that the obtained Kriging interpolation models are precise enough to be used as objective functions in the context of a genetic algorithm optimisation with the aim of improving the device analogue/RF performance in terms of transconductance and cut‐off frequency parameters. …”
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LPI Optimization Framework for Target Tracking in Radar Network Architectures Using Information-Theoretic Criteria by Chenguang Shi, Fei Wang, Mathini Sellathurai, Jianjiang Zhou

“…The resulting nonconvex and nonlinear LPI optimization problems associated with different information-theoretic criteria are cast under a unified framework, and the nonlinear programming based genetic algorithm (NPGA) is used to tackle the optimization problems in the framework. …”
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Nano-second pulsed laser ablation of inconel 718 and MMPCD for simultaneous optimal ablation rate and surface quality by Ahmed Elkaseer, Islam H. Abdelgaliel, Jon Lambarri, Iban Quintana, Steffen Scholz, Mohamed F. Aly

“…Four multi-objective optimization algorithms, weighted value grey wolf optimizer (WVGWO), multi-objective Pareto search (MOPS), multi-objective genetic algorithm (MOGA), and multi-objective sunflower optimization (MOSFO), were employed to optimize these models. …”
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Enhancing Solar Energy Prospects: Predicting Direct Normal Irradiance in Qinghai Province Using ALO-RF Modeling by MD Abdul Munnaf, Tawhidul Islam

“…This study uses the Genetic algorithm, Moth Flame Optimization, and Ant Lion Optimizer to optimize the Random Forest model. …”
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Driver Distraction Identification with an Ensemble of Convolutional Neural Networks by Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad, Mohamed N. Moustafa

“…The system consists of a genetically weighted ensemble of convolutional neural networks; we show that a weighted ensemble of classifiers using a genetic algorithm yields a better classification confidence. …”
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