Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization by Munish Rattan, Manjeet Singh Patterh, B. S. Sohi

“…It is a global optimization technique-like genetic algorithm (GA) but has less computational cost compared to GA. …”
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Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization by Peng Wang, Zhouquan Zhu, Shuai Huang

“…In this paper, the performance of the SLO is compared with that of the genetic algorithm, particle swarm optimization, and artificial bee colony algorithms by using five numerical benchmark functions with multimodality. …”
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Fractional Integration via Picard Method for Solving Fractional Differential-Algebraic Systems by Susan H. Mohammad, Abdulghafor Mohammed Al-Rozbayani

“…By comparing the results with the exact solution, it was found that this method is highly efficient for finding solutions. Also, a genetic algorithm (GA) was used to speed up the approximate solutions when choosing the best values for the fractional derivative, which increased the efficiency of Picard’s fractional integral method in finding the best solutions. …”
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Simulation Analysis of RES System Optimization Strategy of Range-extended Electric Vehicle by Xing Zhongyi

“…Based on the working modes of the transmission system of range-extended electric vehicle,the map of internal combustion engine and battery system characters are obtained through calculation,the main components of transmission are set up in Matlab on the basis of dynamics equation,and the model is analyzed,the genetic algorithm is combined into control strategy in order to optimize the start-close area of range extended system.The simulation results show that the optimized strategy can not only improve the fluctuation range of SOC,but also improve the fuel consumption of transmission system.…”
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Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model by Nuapett Sarasiri, Kittiwong Suthamno, Sarawut Sujitjorn

“…The paper reports the search comparison studies of the BFO, the TS, the genetic algorithm (GA), and the proposed metaheuristics. …”
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Study on the Workspace and Structural Parameter Optimum of Parallel Mechanism based on Waterwave Method by Xia Yongqiang, Luo Yufeng, Shi Zhixin, Yang Long, Zou Jinlong, Li Shaoshuai

“…Finally,the mechanism is optimized by genetic algorithm to improve the mechanism rotational ability.…”
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Optimization of Vehicle Paths considering Carbon Emissions in a Time-Varying Road Network by Chong Ye, Fang Liu, YuKun Ou, Zeyu Xu

“…In this study, a continuous function is used to represent the vehicle speed variation, and two classical optimization algorithms (the genetic algorithm and simulated annealing algorithm) are combined and parameter-optimized, and certain innovations are made in the processing of vehicle speed and the solution algorithm. …”
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Smart Fuzzing method based on comparison algorithm of control flow sequences by Ying WANG, Yi-xian YANG, Xin-xin NIU, Li-ze GU

“…Flowing the way introduced in the research of evolutionary fuzzing system (EFS),a smart fuzzing method was proposed based on the node comparison algorithm among control flow sequences.Through mapping program execution flow sequences onto the control flow sequences,the isomorphism relationship between dada search space and program logic space was established.The analyzed results prove that the method is capa of mining a mass of information from group data effectively,and is able to fully util ze the parallelism of genetic algorithm to guide the fuzzing test.…”
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A Hybrid IP/GA Approach to the Parallel Production Lines Scheduling Problem by Huizhi Ren, Shenshen Sun

“…Based on them, a hybrid integer programming/genetic algorithm (IP/GA) approach is proposed to solve the problem. …”
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Design, Simulation, and Optimization of an Irregularly Shaped Microstrip Patch Antenna for Air-to-Ground Communications by L. A. R. Ramirez, J. C. A. Santos

“…The process started with the design of a rectangular patch antenna with the traditional transmission line and cavity methods, followed by a simulation with the finite-difference time-domain method (FDTD) in conjunction with a genetic algorithm (GA). The aim of the study was to design an efficient patch antenna. …”
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Novel Method for Optimal Synthesis of 5G Millimeter Wave Linear Antenna Array by Zarko Rosic, Olivera Mihic, Danijela Aleksic, Dejan Drajic

“…We will propose a useful method for 5G mm wave antenna array synthesis, based on Genetic Algorithm for the synthesis of linear array with nonuniform interelement spacing. …”
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A Location-Allocation Model for Seaport-Dry Port System Optimization by Xuejun Feng, Yan Zhang, Yuwei Li, Wei Wang

“…This paper constructs a location-allocation model for the regional seaport-dry port network optimization problem and develops a greedy algorithm and a genetic algorithm to obtain its solution. This model is applicable to situations under which the geographic distribution of demand is known. …”
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Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural Networks by Mobin Shaterian, Mohammad Teshnehlab

“…By using the deep neural network and the nearest neighbor and the genetic algorithm and the auto encoder, the list of features was obtained with a precision measurement of 75 percentage. …”
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Predictive Analysis of Economic Chaotic Time Series Based on Chaotic Genetics Combined with Fuzzy Decision Algorithm by Xiuge Tan

“…The irreversibility in time, the multicausality on lines, and the uncertainty of feedbacks make economic systems and the predictions of economic chaotic time series possess the characteristics of high dimensionalities, multiconstraints, and complex nonlinearities. Based on genetic algorithm and fuzzy rules, the chaotic genetics combined with fuzzy decision-making can use simple, fast, and flexible means to complete the goals of automation and intelligence that are difficult to traditional predicting algorithms. …”
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RETRACTED: Optimizing electric vehicle charging schedules and energy management in smart grids using an integrated GA-GRU-RL approach by Xinhui Zhao, Guojun Liang

“…This integrated approach enables global search, sequence prediction, and intelligent decision-making to optimize electric vehicle charging scheduling and energy management. Firstly, the Genetic Algorithm optimizes electric vehicle charging demands while minimizing peak grid loads. …”
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Otsu’s Image Segmentation Algorithm with Memory-Based Fruit Fly Optimization Algorithm by Ruishuai Chai

“…However, the traditional genetic algorithm will fall into the local optimal solution in different degrees when finding the optimal threshold. …”
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The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture. by Xiying Wang

“…This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm-Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. …”
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An Effective Approach for Modular Community Detection in Bipartite Network Based on Integrating Rider with Harris Hawks Optimization Algorithms by Bader Fahad Alkhamees, Mogeeb A. A. Mosleh, Hussain AlSalman, Muhammad Azeem Akbar

“…Experimental results have shown that the proposed method demonstrated a maximal fitness of 0.74353 and maximal modularity of 0.77433, outperforming the state-of-the-art approaches, including h-index-based link prediction, such as Multiagent Genetic Algorithm (MAGA), Genetic Algorithm (GA), Memetic Algorithm for Community Detection in Bipartite Networks (MATMCD-BN), and HHO.…”
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ROUTE FIRST-CLUSTER SECOND METHOD FOR PERSONAL SERVICE ROUTING PROBLEM by MELİKE KÜBRA EKİZ, MUHAMMET BOZDEMİR, BURCU ÖZCAN TÜRKKAN

“…In this context, we first assigned the employees to the stations, and then we reached a solution using the route first-cluster second heuristic method. We used the Genetic Algorithm (GA) to improve the route and compared the results by creating different scenarios in clustering methods. …”
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Application of Chaos and Neural Network in Power Load Forecasting by Li Li, Liu Chong-xin

“…Improved back propagation (BP) algorithm based on genetic algorithm (GA) is used to train and forecast. Finally, this paper uses the load data of Shaanxi province power grid of China to complete the short-term load forecasting. …”
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