Vehicle-routing problem for low-carbon cold chain logistics based on the idea of cost–benefit by Yan Liu, Fengming Tao, Rui Zhu

“…Then, a hybrid algorithm called local search genetic algorithm (LSGA) is proposed, which amalgamates the destroy-repair operator with GA algorithm. …”
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Numerical Simulation and Active Protection of Lightning Discharge Based on Quantum Heuristic Evolutionary Algorithm by Mingfa Wu, Yufeng Qian, Chongjing Yang

“…This article gives a detailed description of the quantum algorithm, the generation, and harm of lightning discharge. The genetic algorithm is used to optimize the lightning data simulation algorithm, and the optimization process is introduced in detail. …”
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Parameter Selection for PSO-Based Hybrid Algorithms and Its Effect on Crack Detection in Cantilever Beams by Amin Ghannadiasl, Saeedeh Ghaemifard

“…The performance of Particle swarm optimization (PSO), Genetic algorithm (GA), Grey wolf optimization (GWO), Firefly algorithm (FA), and hybrid of them base on PSO optimizer to determine the location and depth of crack for cantilever beam are proposed. …”
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A Short-Term Load Forecasting Model of LSTM Neural Network considering Demand Response by Xifeng Guo, Qiannan Zhao, Shoujin Wang, Dan Shan, Wei Gong

“…Secondly, an improved genetic algorithm (IGA) is used to obtain the best LSTM parameters; finally, the special gate structure of the LSTM model is used to selectively control the influence of input variables on the model parameters and perform load forecasting. …”
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Analysis of Constraint-Handling in Metaheuristic Approaches for the Generation and Transmission Expansion Planning Problem with Renewable Energy by Lourdes Martínez-Villaseñor, Hiram Ponce, José Antonio Marmolejo-Saucedo, Juan Manuel Ramírez, Agustina Hernández

“…We proposed to address the G&TEP problem with a pure genetic algorithm approach. Different constraint-handling techniques were applied to deal with two complex case studies presented. …”
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A MultiObjective Optimization Approach for Integrated Timetabling and Vehicle Scheduling with Uncertainty by Yindong Shen, Wenliang Xie, Jingpeng Li

“…Meanwhile, a multiobjective hybrid algorithm, which is a combination of the self-adjust genetic algorithm (SGA), large neighborhood search (LNS) algorithm, and Pareto separation operator (PSO), is applied to solve the integrated optimization problem. …”
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Research on Optimization of Aircraft Climb Trajectory considering Environmental Impact by Fangzi Liu, Minghua Hu, Wenying Lv, Honghai Zhang

“…Finally, the multiobjective model is solved by genetic algorithm. The B737-800 civil aviation aircraft is selected for simulation experiment to analyze the impact of speed change on the optimization target. …”
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A Support Vector Machine Model with Hyperparameters Optimised by Mind Evolutionary Algorithm for Assessing Permeability of Rock by Wenjin Zhu, Zhiming Chao, Guotao Ma

“…Based on the constructed database, a Support Vector Machine (SVM) model with hyperparameters optimised by Mind Evolutionary Algorithm (MEA) was proposed to predict the permeability of rock. Meanwhile, the Genetic Algorithm- (GA-) and Particle Swarm Algorithm- (PSO-) SVM models were constructed to compare the improving effects of MEA on the foretelling accuracy of machine learning models with those of GA and PSO, respectively. …”
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Complexity Analysis of a Four-Dimensional Energy-Economy-Environment Dynamic System by Shuai Jin, Liuwei Zhao

“…Based on the official data, the Levenberg–Marquardt backpropagation neural network method was optimized by genetic algorithm to effectively identify the parameters in the 3E system. …”
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Metaheuristic Approaches for Hydropower System Scheduling by Ieda G. Hidalgo, Regiane S. de Barros, Jéssica P. T. Fernandes, João Paulo F. Estrócio, Paulo B. Correia

“…We propose two solution methods using metaheuristic approaches. They combine Genetic Algorithm with Strength Pareto Evolutionary Algorithm and Ant Colony Optimization. …”
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A New DG Multiobjective Optimization Method Based on an Improved Evolutionary Algorithm by Wanxing Sheng, Ke-yan Liu, Yongmei Liu, Xiaoli Meng, Xiaohui Song

“…The proposed algorithm was implemented and compared with the strength Pareto evolutionary algorithm 2 (SPEA2), a particle swarm optimization (PSO) algorithm, and nondominated sorting genetic algorithm II (NGSA-II). The comparison of the results demonstrates the validity and practicality of utilizing DG units in terms of economic dispatch and optimal operation in a distribution power system.…”
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Two-Echelon Location-Routing Problem with Fuzzy Demand of Rural E-Commerce Logistics by Xiaojuan LU, Jianjun WANG, Shuai WU, Shiyu ZHENG, Qian LIU

“…Additionally, we present a two-stage Improved Non-Dominated Sorting Genetic Algorithm II (INSGA-II) that integrates stochastic simulation and a K-means clustering algorithm to effectively solve the problem. …”
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Multicompare Tests of the Performance of Different Metaheuristics in EEG Dipole Source Localization by Diana Irazú Escalona-Vargas, Ivan Lopez-Arevalo, David Gutiérrez

“…We study the use of nonparametric multicompare statistical tests on the performance of simulated annealing (SA), genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution (DE), when used for electroencephalographic (EEG) source localization. …”
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Urban Rail Transit Scheduling under Time-Varying Passenger Demand by Xing Zhao, Zhongyan Hou, Jihuai Chen, Yin Zhang, Junying Sun

“…A hybrid algorithm which consists of the main algorithm based on genetic algorithm and the nested algorithm based on train traction calculation and safety distance requirement is designed to solve the model. …”
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Optimal Trajectory Planning and Linear Velocity Feedback Control of a Flexible Piezoelectric Manipulator for Vibration Suppression by Junqiang Lou, Yanding Wei, Guoping Li, Yiling Yang, Fengran Xie

“…And the sum of the link vibration energy is chosen as the objective function. Then, genetic algorithm is used to determine the optimal trajectory. …”
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An Improved NSGA-II Algorithm for Transit Network Design and Frequency Setting Problem by Shushan Chai, Qinghuai Liang

“…In order to obtain the better network schemes, a multi-population genetic algorithm is proposed based on NSGA-II framework. …”
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Lightweight Design and Dynamics Analysis of ZYL-15000D Directional Drill Reducer by Xiaohong Zhao, Xianguo Yan, Zhi Chen, Hang Su

“…This paper selects the method of reducing the transmission ratio to optimize the size parameters of the reducer. MATLAB genetic algorithm is used in the optimization design, and the minimum volume of the rotary part reducer is taken as the objective of optimization design, while the design variables and constraints are determined. …”
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Optimal Design of the Sealing Structure of a Hydraulic Cylinder on the Basis of a Surrogate Model by Hong Zhang, Yu Sun, Chenchen Li, Haoran Wang

“…Then, a surrogate model was fitted and optimised through a constrained Latin hypercube method, an interpolating recmultiquadric radial basis function method, and the genetic algorithm. The results indicate that the seal and seal groove structures obtained through optimisation with the surrogate model provide a superior sealing effect to unoptimised structures. …”
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Performance Evaluation of Antlion Optimizer Based Regulator in Automatic Generation Control of Interconnected Power System by Esha Gupta, Akash Saxena

“…The comparison of the regulator performance obtained from ALO is carried out with Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Gravitational Search Algorithm (GSA) based regulators. …”
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Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach by Yunus Emre Gur

“…The data were combined with key economic indicators of the US, and the hyperparameters of the forecasting models were optimized using genetic algorithm and Bayesian optimization methods. According to the VAR model results, variables such as past values of CPI, oil prices (OP), and gross domestic product (GDP) have strong and significant effects on CPI. …”
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