Multi-Objective Optimal Trajectory Planning for Woodworking Manipulator and Worktable Based on the INSGA-II Algorithm by Jiaping Yi, Changqing Zhang, Sihan Chen, Qinglong Dai, Hang Yu, Guang Yang, Leyuan Yu

“…An improved non-dominated sorting genetic algorithm (INSGA-II) is proposed to achieve a time–jerk multi-objective trajectory planning that can meet the dual requirements of minimal processing time and reduced motion impact. …”
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Green city: An efficient task joint execution strategy for mobile micro-learning by Li Yang, Ruijuan Zheng, Junlong Zhu, Mingchuan Zhang, Ruoshui Liu, Qingtao Wu

“…Second, a mapping-level service mode and a cloud-level service mode are proposed to achieve seamless switching. Finally, the genetic algorithm is used to find the optimal executive strategy. …”
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Optimal Planning of Distributed Sensor Layouts for Collaborative Surveillance by Thomas A. Wettergren, Russell Costa

“…In particular, we develop a genetic algorithm solution to find spatial sensor density functions that maximize effectiveness against moving targets, where the surveillance performance of individual sensors is dependent on their absolute position in the region as well as their relative position to both the expected target(s) and any asset that is being protected. …”
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Surrogate Assisted Design Optimization of an Air Turbine by Rameez Badhurshah, Abdus Samad

“…A Reynolds-averaged Navier Stokes solver was used to evaluate the objective function responses, and these responses along with the design variables were used to construct the Kriging variants and RSA functions. A hybrid genetic algorithm was used to find the optimal point in the design space. …”
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A Capacity-Utilization-Oriented Stop Planning Approach for High-Speed Railway Network with Stop Distribution Balance by Shuo Zhao, Xinghua Shan, Jinfei Wu, Litao Zhang, Zhenyi Li, Xuying Liu

“…An adaptive hybrid solving algorithm combined with Genetic Algorithm and Simulated Annealing Algorithm is proposed, with several adaptive operations according to the problem characteristics and optimization degree to improve searching efficiency. …”
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Design of PI Controller for Voltage Controller of Four-Phase Interleaved Boost Converter Using Particle Swarm Optimization by Ittipon Laoprom, Satean Tunyasrirut

“…The metaheuristic optimizations, particle swarm optimization (PSO), genetic algorithm (GA), and Tabu search (TS) are applied to find the optimal gains for the proposed control system. …”
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Design of a Savitzky-Golay Filter-Based vEMG-FES System by Ruikai Cao, Yixuan Sheng, Anqin Dong, Honghai Liu

“…Additionally, we adapt the Savitzky-Golay filter to extract high-quality, real-time vEMG from FES-contaminated signals, with the optimal filter parameters for different stimulation and blanking periods determined using a genetic algorithm and semi-synthesized signals. Simulation and experimental results confirm that the proposed system ensures robust and high-quality vEMG acquisition, even under varying parameters and across different individuals. …”
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Load Characteristics and Modeling Methods for the Flow Regulator of a Solid Ducted Rocket by An Wang, Qinghua Zeng

“…Through the use of the genetic algorithm, the rotational inertia and parameters of the system load and working load were identified by stages. …”
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Studies on Pumice Lightweight Aggregate Concrete with Quarry Dust Using Mathematical Modeling Aid of ACO Techniques by J. Rex, B. Kameshwari

“…Here, the modeling is carried out with three different optimization techniques like genetic algorithm (GA), particle swarm optimization (PSO), and ant colony optimization (ACO) with 80% of data from experiment utilized for the training and the remaining 20% for the validation. …”
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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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Multi-objective Optimization Design of Moving Mechanism Configuration for Two-wheel Differential Driving Service Robot by Zhang Xiaoli, Liang Dong, Shan Xinping, Chen Bingkui

“…A multi-objective optimization model for wheel layout is established and the optimal solution is derived by using MATLAB genetic algorithm toolbox. Assuming the factors of pitch angle,roll angle and drive torque as evaluation indicators,motion simulation of the mobile underpan is carried out by the virtual prototyping technology. …”
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Matching and Optimization for the Parameter of Electric City Vehicle Powertrain by Li Wenwen, Sun Houhuan, Xu Xiaowen

“…Under the double pressures of energy crisis and environmental problems,the governments and the automobile enterprises have paid much attention to the pure electric vehicle which has advantages of zero emission,low noise and wide range of energy sources.Electric car is not very different from conventional cars,whether in the main structure or in the appearance.The main change is made in terms of drivetrain.Taking the pure electric city car as our research target,the power transmission system parameter is analyzed and designed,according to the vehicle parameters,power and economy requirements,the vehicle power system parameter is matched.The matched parameters of power system preliminarily is optimized from improving the transmission efficiency,taking the shortest time of acceleration and working conditions driving range maximum as optimization goal.The fitness function of transmission speed ratio is constituted of objective function and constraints condition by using a penalty function.The optimization is carried out by genetic algorithm,the optimal parameters of power system are obtained.…”
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Distributed photovoltaic reactive power control strategy based on improved multiobjective particle swarm algorithm by Hongli Liu, Li Hao, Li Ji, Shao Lei

“…When the algorithm is compared with three other algorithms, such as nondominated sorting genetic algorithm‐II, the results show that it reduces the network loss by about 25% and significantly improves the voltage fluctuation rate.…”
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Divisive hierarchical clustering for energy saving and latency reduction in UAV-assisted WSANs by Xuan Zhang, Yong-Long Wang, Heejung Byun

“…Furthermore, we utilize unmanned aerial vehicles (UAVs) for simultaneous data collection and develop a modified improved partheno genetic algorithm incorporating the Davies–Bouldin index for UAV scheduling. …”
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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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