Vibroacoustic Optimization of Stiffening Ribs and Damping Material Distribution on Sheet Metal Parts by M. Carfagni, P. Citti, L. Governi, M. Pierini

“…The proposed method is based on a Genetic Algorithm (G.A.) procedure which takes into account both the vibroacoustic performance and the weight and cost reduction. …”
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Robust Framework to Combine Diverse Classifiers Assigning Distributed Confidence to Individual Classifiers at Class Level by Shehzad Khalid, Sannia Arshad, Sohail Jabbar, Seungmin Rho

“…For this purpose, we applied genetic algorithm to search for an optimal weight vector on which classifier ensemble is expected to give the best accuracy. …”
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Layout Optimization of Two Autonomous Underwater Vehicles for Drag Reduction with a Combined CFD and Neural Network Method by Wenlong Tian, Zhaoyong Mao, Fuliang Zhao, Zhicao Zhao

“…Then, based on the CFD data, a back-propagation neural network (BPNN) method is used to describe the relationship between the layout parameters and the drag of the fleet. Finally, a genetic algorithm (GA) is chosen to obtain the optimal layout parameters which correspond to the minimum drag. …”
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Optimization Design and Experimental Study of Low-Pressure Axial Fan with Forward-Skewed Blades by Li Yang, Ouyang Hua, Du Zhao-Hui

“…Using back propagation (BP) neural network and genetic algorithm (GA), the optimization was performed for a radial blade. …”
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Dispatching Design for Customized Bus of Hybrid Vehicles Based on Reservation Data by Xuemei Zhou, Jiaojiao Xi, Zhen Guan, Xiangfeng Ji

“…Finally, a calculation example is designed and the genetic algorithm is used to solve the model. The results show that the hybrid vehicle solution is more reasonable than the traditional single-vehicle solution and reveal that the model is feasible to optimize scheduling plan. …”
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Flexible terahertz beam manipulation and convolution operations in light-controllable digital coding metasurfaces by Min Jia, Chao Zhao, Hui Wang, Weiran Sun, Yuncheng Lu

“…We also achieve dynamic modulation of vortex electromagnetic waves based on wireless light-controllable coding metasurfaces. And the genetic algorithm is used to reverse design the array arrangement of the coding metasurface to achieve terahertz broadband radar scattering cross-section reduction. …”
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An Approach for Modeling, Simulation, and Optimization of Catalytic Production of Methyl Ethyl Ketone by Zahra Parhizi, Milad Nayebi, Edris Mohammadzadeh, Reza Torfi

“…Eventually, an evolutionary genetic algorithm was adopted to optimize the reactor to maximize MEK production. …”
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Scheduling Optimization for Twin ASC in an Automated Container Terminal Based on Graph Theory by Yifeng Xu, Jin Zhu

“…To solve this problem, a two-stage adaptive genetic algorithm (AGA) based on a graph theory model is proposed. …”
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Synthesized Cluster Head Selection and Routing for Two Tier Wireless Sensor Network by Keyur Rana, Mukesh Zaveri

“…We have proposed an integrated approach of cluster head selection and routing in two tier wireless sensor network (WSN) using Genetic Algorithm based cluster head selection with A-Star algorithm based routing method to extend life of WSN. …”
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Stochastic Portfolio Selection Problem with Reliability Criteria by Xiangsong Meng, Lixing Yang

“…The equivalent linear (mixed integer) programming models are also deduced for different evaluation strategies. A genetic algorithm with a polishing strategy is designed to search for the approximate optimal solutions of the proposed models. …”
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Optimization Model of Traffic Sensor Layout considering Traffic Big Data by Xu Sun, Zixiu Bai, Kun Lin, Pengpeng Jiao, HuaPu Lu

“…The model is solved by the tolerant lexicographic method based on a genetic algorithm. A case study shows that the model reflects the influence of multisource data sharing and fault conditions and satisfies the origin-destination coverage constraint to achieve the multiobjective optimization of traffic sensor layout.…”
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An UAV-Assisted Edge Computing Resource Allocation Strategy for 5G Communication in IoT Environment by Hao Liu

“…Based on the optimization of the UAV trajectory, communication scheduling, and the energy consumption model of the UAV, the problem of the total computational cost minimization is formulated. Then, the genetic algorithm is improved by introducing a penalty function to solve this problem, in which selection, crossover, and mutation operations are iterated to obtain the optimal allocation strategy for computational resources. …”
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Aplikasi Pertimbangan Wisata di Pulau Lombok dengan Metode Fuzzy Mamdani & Algoritma Genetika by Zainul Harir, Ida Bagus Ketut Widiartha, Royana Afwani

“…The defuzzification used is the Mean of Max (MOM). Genetic Algorithm (GA) is used in providing optimal budget allocation in traveling on Lombok IslandThe results of testing with manual calculations and different defuzzification models have 100% accurate, the application of GA obtained optimal budget allocation on crossover probability (pc) and mutation probability (pm) combination with (pc) 0.7 and (pm) 0.2. …”
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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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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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