Robust pareto multiobjective optimum design of FG-Beam under moving mass by Moein Abdollah-Salimi, Nader Nariman-Zadeh, Reza Ansari

“…In addition to the means, the variance of the mentioned cost functions was considered to obtain robust behaviour in an uncertain space of parameters. By using a genetic algorithm, a fraction of constituents and an index of volume fraction (design variables) were selected so that objective functions were optimized. …”
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A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty by Na Zhang, Weidong Li, Rao Liu, Quan Lv, Liang Sun

“…A birandom simulation based hybrid genetic algorithm is designed to solve the proposed model. …”
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Presenting a multi-objective mathematical model with an integrated approach to scheduling and financial flow in production projects using NSGA-II by Sajad Janbaz, Seyed Mohammadreza Davoodi, Abdolmajid Abdolbaghi Ataabadi

“…Purpose: The current research aims to present a multi-objective mathematical model with an integrated approach to scheduling and financial flow in production projects using Non-dominated Sorting Genetic Algorithm II (NSGA-II).Methodology: This research presents a multi-objective mathematical model integrating scheduling and financial flow optimization in civil engineering projects. …”
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Improvement of a Free-Wake Model for the Aerodynamic and Aeroacoustic Analysis of a Small-Scale Two-Bladed Propeller in Hover by Manuel Iannotta, Antonio Visingardi, Domenico Quagliarella, Fabrizio De Gregorio, Mattia Barbarino, Alex Zanotti

“…An optimization procedure based on the application of the evolutionary Genetic Algorithm is followed to identify the values of the parameters describing the dissipative and diffusive properties in the Bhagwat–Leishman vortex core model, an upgraded version of the classical Lamb–Oseen one. …”
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Estimation of wireless channel fading model in maritime communication for complex meteorological environment by Yasheng DAI, Bolin MA, Guangxue YUE

“…Due to the influence of complex marine environmental factors such as sparse scattering of electromagnetic wave on the ocean surface, wave shadow fading, complex meteorological environment.It is extremely hard to model the fading of wireless channel in maritime communication environment.After analyzing the influence of meteorological environment and multipath channel fading via direct-path, specular-path and diffuse-path on marine wireless communication channel fading, the estimation of wireless channel fading model in maritime communication for complex meteorological environment (EWCFM-CME) was proposed.An improved bee colony algorithm was designed to estimation the parameter of EWCFM-CME.In order to improve the efficiency and accuracy of search algorithm, an iterative function with sin(·) function as operator was designed in search scheme of bee colonies.The leading bee received the detection bee solution to update itself with probability P.It prevents the solution algorithm from falling into local optimization.The simulation results show that, compared with fluctuate two-ray (FTR) fading model and round earth loss (REL) model, the mean absolute error (MAE) of EWCFM-CME increased by 13.58% and 11.43% By comparing EWCFM-CME with cuckoo search, genetic algorithm and simulated annealing algorithm, the search time is reduced by 60.48%, 45.18% and 43.23%, respectively.…”
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Optimizing Customized Transit Service considering Stochastic Bus Arrival Time by Qian Sun, Steven Chien, Dawei Hu, Xiqiong Chen

“…A heuristic algorithm is developed, which integrates a hybrid genetic algorithm (HGA) and adaptive destroy-and-repair (ADAR) method. …”
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Two-Stage Solution for Meal Delivery Routing Optimization on Time-Sensitive Customer Satisfaction by Wenjie Wang, Li Jiang

“…In the second stage, a genetic algorithm (GA) is applied to solve the cluster-based delivery routing optimization model to find an optimal delivery route for meal orders in each delivery bundle. …”
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Combined AGADESN with DBSCAN Algorithm for Cluster Target Motion Intention Recognition by Xirui Xue, Shucai Huang, Daozhi Wei

“…In order to solve these problems, a joint algorithm of deep echo state network optimized by adaptive genetic algorithm (AGADESN) and DBSCAN clustering algorithm is proposed in this paper. …”
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Performance analysis of high-rate generalized space code index modulation system by BIAN Lina, ZHANG Qianyu, WU Jiayan

“…The traditional modulation symbols were replaced with the additional phase by the HR-GS-CIM system, and the genetic algorithm (GA) was used to optimize the design of the additional phase, which could acquire high energy efficiency advantage and performance advantage. …”
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Using rule association to generate data collection policies by Pei CHEN, Fenghua LI, Zifu LI, Yunchuan GUO, Lin CHENG

“…Collecting security-related data of devices effectively is the foundation of analyzing network threats accurately.Existing data collection methods (full data collection, sampling based data collection and adaptive data collection) do not consider the validity of the collected data and their correlation, which will consume too much collection resources, resulting in low collection yield.To address this problem, considering the factors (relationship between node attributes, network topology relationship, threat status, node resource and node similarity) that impact collection costs and benefits, a rule association method to generate collection policies was designed.In the method, two types of association rules (inter-node association rules and inter-event association rules) were adopted to generate candidate data collection items and reduced the scope of data collection.Then, a multi-objective program was designed to maximize collection benefits and minimize collection costs.Further, a genetic algorithm was designed to solve this program.Proposed method was compared with existing data collection methods.The experimental results show that the number of the collected data records of proposed method is 1 000~3 000 less than that of others per 12 hours, and the validity of the collected data of proposed method is about 4%~10% higher than others, which proves the effectiveness of the proposed method.…”
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Structural health evaluation of arch bridge by field test and optimized BPNN algorithm by Zhihua Xiong, Zhuoxi Liang, Xulin Mou, Yu Zhang

“…Back Propagation Neural Network (BPNN), Genetic Algorithm-based BPNN (GA-BPNN), Particle Swarm Optimization Algorithm-based BPNN (PSO-BPNN) approaches and test data analysis are adopted to compare the measured data with the simulated data to quantitatively identify the damage degree of the selected bridge. …”
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Machine Learning Approaches for Developing Land Cover Mapping by Ali Alzahrani, Awos Kanan

“…In this work, a genetic algorithm-based feature selection approach is used to enhance the performance of urban land cover classification. …”
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Determination of Slope Safety Factor with Analytical Solution and Searching Critical Slip Surface with Genetic-Traversal Random Method by Wen-jie Niu

“…In the current practice, to determine the safety factor of a slope with two-dimensional circular potential failure surface, one of the searching methods for the critical slip surface is Genetic Algorithm (GA), while the method to calculate the slope safety factor is Fellenius’ slices method. …”
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Signal Control Strategy for Supersaturated Traffic at Urban Road Intersections with a Large Technical Grade Gap by Baiqun Ding, Liu Yang, He Xu, Yongming He

“…To reduce the risk of queuing overflow on the urban minor road at the intersection under supersaturation where the capacity of the arterial and minor roads shows extreme disparity, reduce the adverse effects caused by long queues of vehicles on the minor road, and comprehensively balance the multiobjective requirements such as priority of the main road, queuing restrictions, and delay on the minor road, the minor road queue model at the end of red, a road remaining capacity model, and multiparameter coordinated signal control model were established, and a multiobjective genetic algorithm was used to optimize this solution. As an example, the multiparameter coordinated control strategy decreased the delay per vehicle by approximately 17% and the queue length by approximately 30%–50% on the minor road and slightly increased the delay per vehicle at the intersection and the length on the main road queue. …”
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An Empirical Analysis of the Role of Piano Performance in Alleviating Psychological Trauma in People with Psychological Isolation Disorder by Xia Cao

“…Finally, the support vector machine with optimized parameters of the genetic algorithm was used to classify the positive, neutral, and negative samples with 89.23% accuracy. …”
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Research on the Combination Optimization Method of Aircraft Climb Parameters Considering the Influence of Pollution Emissions by Wang Na, Wei Zhiqiang, Han Xiaolan

“…Next, we establish a combined optimization model of indicated airspeed and thrust using the genetic algorithm. The model simulation and result analysis are carried out using a wide-body aircraft. …”
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Multi-carrier information hiding algorithm based on three-dimensional model’s concave-convex structure characteristics by Shuai REN, Lei SHI, Binbin WANG, Huirong CHENG, Qianqian ZHANG, Honglin LIU

“…Aiming at the problem that the embedding capacity, invaibility and robustness of a single-carrier information hiding algorithm cannot be further improved due to the limitation of the number of carriers, the voxelization of the carrier and the embedding of secret information were combined with the concave-convex structure characteristics of the three-dimensional model, and a method was proposed.A multi-carrier information hiding algorithm based on the three-dimensional model’s concave-convex structure features.Firstly, the three-dimensional model was voxelized, and the three-dimensional model’s concave-convex structure features were extracted from the data set obtained after voxelization to classify the carrier library, and the concave-convex degree was obtained by conversion after the interval was encoded.Secondly, the secret information was segmented according to the number of carrier classifications and scrambled and optimized, so that the embedding of the carrier and the secret information was effectively connected through its classification and number of segments, and double embedding of secret information by encoding data of concavity intervals and voxelized coordinate points, respectively, to further improve the performance of the algorithm.Finally, the genetic algorithm was applied to optimize the secret information to complete the information hiding.The experiment shows that compared with the high-capacity three-dimensional model steganography algorithm based on a single carrier, the invisibility, robustness and capacity of the algorithm were significantly improved.…”
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Soft Measurement of Wastewater Treatment System Based on PSOGA-WNN by LIU Yuhui, MAI Wenjie, LI Xiaoyong, ZHAO Yinzhong, HE Xinzhong, HUANG Mingzhi

“…To accurately predict the SS_eff (effluent SS) content and COD_eff (effluent COD) concentration in water quality parameters and further improve the water quality early warning mechanism,this paper proposes the PSOGA-WNN soft measurement model of paper wastewater effluent quality to obtain the main water quality technical parameters,COD_inf (influent COD),Q (influent flow),pH (influent pH),SS_inf (influent SS),T (influent temperature),DO (influent dissolved oxygen),COD_eff,and SS_eff, for predicting the quality of wastewater from the wastewater treatment plant.Among them,the prediction results of PSOGA-WNN are compared with the neural networks of PSO-WNN,GA-WNN,and PSOGA-BP.The results show that the PSOGA-WNN neural network has the highest prediction accuracy,which indicates that the PSOGA hybrid parameter optimization algorithm based on the genetic algorithm and particle swarm algorithm has obvious superiority in optimizing the prediction accuracy of the model.The WNN neural network has certain advantages over BP neural network in terms of fitting degree as well as error accuracy and is an effective means of simulation prediction.…”
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Influence of Hysteresis on the Vibration Control of a Smart Beam with a Piezoelectric Actuator by the Bouc–Wen Model by Ting Zhang

“…Furthermore, the Bouc–Wen model is adopted to describe the hysteresis property of a smart beam and the hysteresis parameters of the hysteresis model are identified with a genetic algorithm. Based on the identification results, the hysteresis model is validated to represent the hysteresis property of the smart beam. …”
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An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease by Md. Jakir Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun

“…Different feature selection approaches including chi-square test, recursive feature elimination (RFE), genetic algorithm (GA), particle swarm optimization (PSO), and random forest are evaluated for their effectiveness in enhancing the classification accuracy of the machine learning classifiers. …”
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