PERFORMANCE ANALYSIS AND LIGHTWEIGHT DESIGN OF A FRONT SUBFRAME by JIANG LiHong, WU QingJie

“…Aiming at checking the performance of a front subframe whether could meet the design requirements.Firstly,the grid model of the front subframe was built by adopting finite element method,and it was modal performance analyzed,the analysis result showed that its first two natural frequency were higher than the engine excitation frequency,so it could meet dynamic performance requirements.Secondly,the front subframe was modal tested,the test result showed that its simulation analysis precision was high.Thirdly,the front suspension dynamic model was built,and it was load based on theoretical forces,so its connection point load of typical working condition were obtained.Fourthly,the front subframe was strength analyzed by adopting inertia release method,the analysis result showed that its stress were lower than material yield value,so it could meet meet the strength characteristics.Lastly,the front subframe was lightweight designed by adopting neighborhood cultivation multiobjective genetic algorithm,the optimal thickness were obtained.Its modal performance and strength performance could meet the requirements after optimization,its weight had been successfully reduced by 9.9%,and it had passed the real vehicle road test verification.The theoretical and scientific reference were provided for obtaining the structural performance and optimization design.…”
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Enterprise Network Marketing Prediction Using the Optimized GA-BP Neural Network by Ruyi Yang

“…Based on the analysis of the shortcomings of the traditional BP network, this paper uses a genetic algorithm with good global search capabilities to improve the neural network. …”
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Optimal Matching Metaheuristic Algorithm for Potential Areas of Agricultural Economic Resources Development Based on Spatial Relationship by Jianying Zhang, Xuebin Feng

“…Based on this multiobjective model, the optimal matching model for potential areas of agricultural economic resource development is constructed, and the improved genetic algorithm is used to solve the model to realize the optimal matching of potential areas of agricultural productivity and economic resource development. …”
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Optimal Capacity Allocation of Large-Scale Wind-PV-Battery Units by Kehe Wu, Huan Zhou, Jizhen Liu

“…Second, the utilization rate of renewable energy sources and maximum wind-PV complementation was considered and the objective function of full life cycle-net present cost (NPC) was calculated through hybrid iteration/adaptive hybrid genetic algorithm (HIAGA). The optimal capacity ratio among wind generator, PV array, and battery device also was calculated simultaneously. …”
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An Intrusion Detection System Based on Deep Learning and Metaheuristic Algorithm for IOT by Bahman Sanjabi, Mahmood Ahmadi

“…In this paper, a method is presented that uses meta-heuristic algorithms such as genetic algorithm, particle swarm optimization, artificial bee colony and gray wolf to find the optimal hyperparameters for the deep learning network and the intrusion detection system is created based on these hyperparameters. …”
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Efficiency and Reliability Analysis of Self-Adaptive Two-Stage Fuzzy Control System in Complex Traffic Environment by Mingzhi Wang, Xianyu Wu, He Tian, Jie Lin, Meimei He, Liuqing Ding

“…Aiming at the problems of the parameters of membership functions empirical settings and insufficient response to the real-time fluctuation in traffic flow, the controller introduces an improved hybrid genetic algorithm to solve it and enable the controller to self-learn. …”
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Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms by Anongrit Kangrang, Haris Prasanchum, Rattana Hormwichian

“…This study applied the conditional genetic algorithm (CGA) and the conditional tabu search algorithm (CTSA) technique to connect with the reservoir simulation model in order to search optimal reservoir rule curves. …”
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Thermodynamic and economic analysis, optimization of SOFC/GT/SCO2/ORC hybrid power systems for methanol reforming-powered ships with carbon capture by Shouguang Yao, Xuan Yan, Minjie Xia, Chuang Wang, Shaofan Wang

“…The proposed novel power system is analyzed for the impact of important factors of each system on performance of the system, and thermodynamic and economic analyses and evaluations are carried out. Ultimately, a genetic algorithm-based approach was employed to optimize the system's performance through multi-objective optimization, aiming for the best possible outcome. …”
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Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approaches by Manjunath Patel Gowdru Chandrashekarappa, Prasad Krishna, Mahesh B. Parappagoudar

“…Two different neural network based approaches have been proposed to carry out the said task, namely, back propagation neural network (BPNN) and genetic algorithm neural network (GA-NN). The batch mode of training is employed for both supervised learning networks and requires huge training data. …”
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Optimizing Competency-Based Human Resource Allocation in Construction Project Scheduling: A Multi-Objective Meta-Heuristic Approach by Bahman Shojaei, Heidar Dashti Naserabadi, Mohammad Javad Taheri Amiri

“…Our approach involves solving a sample problem precisely using GAMS software and developing two meta-heuristic algorithms—Non-Dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO). …”
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Multiobjective Optimization of a Fractional-Order PID Controller for Pumped Turbine Governing System Using an Improved NSGA-III Algorithm under Multiworking Conditions by Chu Zhang, Tian Peng, Chaoshun Li, Wenlong Fu, Xin Xia, Xiaoming Xue

“…An improved nondominated sorting genetic algorithm III based on Latin hypercube sampling and chaos theory (LCNSGA-III) is proposed to solve the optimization problem. …”
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Joint Optimization of Energy Conservation and Migration Cost for Complex Systems in Edge Computing by Xiaolong Xu, Yuan Xue, Mengmeng Cui, Yuan Yuan, Lianyong Qi

“…In addition, nondominated sorting genetic algorithm III (NSGA-III) is adopted to generate optimal resource scheduling strategies. …”
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An Application of DC Motor Modelled Classical Sliding Mode Control with Moving Sliding Surface to Rotary Inverted Pendulum System by Muhammet Aydın, Oğuz Yakut

“…The sliding surface's slope was computed based on the system's dynamics. The genetic algorithm was utilized to determine the ideal values for the coefficients employed in the control structure. …”
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Predicting Patients’ Revisit Intention Based on Satisfaction Scores: Combination of Penalized Regression and Neural Networks by Farshid Abdi, Shaghayegh Abolmakarem, Amir Karbassi Yazdi, Paul Leger, Yong Tan, Giuliani Coluccio

“…In addition to feature selection models such as Random Forest, Genetic Algorithm, and Lasso Regression, the study employs various methods, including Neural Networks, Support Vector Machines, Decision Trees, k-Nearest Neighbors, Rule-based systems, and Naive Bayes algorithms. …”
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Big Data-Driven Based Real-Time Traffic Flow State Identification and Prediction by Hua-pu Lu, Zhi-yuan Sun, Wen-cong Qu

“…Traffic flow state quantification, the basis of traffic flow state identification, is achieved by a SAGA-FCM (simulated annealing genetic algorithm based fuzzy c-means) based traffic clustering model. …”
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Optimization Approach for Yard Crane Scheduling Problem with Uncertain Parameters in Container Terminals by Wenqian Liu, Xiaoning Zhu, Li Wang, Baicheng Yan, Xuewei Zhang

“…Subsequently, two algorithms based on certain rules are proposed to obtain the yard crane operation scheme in the deterministic environment, which are taken as the basic solution in the uncertain conditions, and then a tailored genetic algorithm is adopted to find the optimal solution with good adaptability to the uncertain scenarios. …”
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Evaluation of Contemporary Computational Techniques to Optimize Adsorption Process for Simultaneous Removal of COD and TOC in Wastewater by Areej Alhothali, Hifsa Khurshid, Muhammad Raza Ul Mustafa, Kawthar Mostafa Moria, Umer Rashid, Omaimah Omar Bamasag

“…This study was aimed at evaluating the artificial neural network (ANN), genetic algorithm (GA), adaptive neurofuzzy interference (ANFIS), and the response surface methodology (RSM) approaches for modeling and optimizing the simultaneous adsorptive removal of chemical oxygen demand (COD) and total organic carbon (TOC) in produced water (PW) using tea waste biochar (TWBC). …”
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Energy-Efficient and Fault-Tolerant Control of a Six-Axis Robot Based on AI Models by Patryk Nowak, Zoran Pandilov

“…Specifically, a genetic algorithm is used to generate learning data for the selection of the optimal kinematic configuration of the robot, and a multilayer perceptron is utilized to predict the parameters of the defined reward function. …”
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Robust Optimization Design for Combined Tooth Surface Modification of Helical Gear Pair Considering Load Variation Domain by Xu Wenbo, Yuan Bing, Ma Guoliang, Yu Wentao

“…And then, the non-dominated sorting genetic algorithm with elitist strategy is combined with the calculation model of transmission error, the Pareto frontier solutions of the combined modification parameters are solved, and the robust solution which makes the expectation and variance of transmission error fluctuations smaller is selected. …”
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Multi-objective Newton-Raphson-based optimizer for fractional-order control of PEM fuel cells by Mahmoud S. AbouOmar, Sami El Ferik

“…Results demonstrate the competitive capabilities of the proposed MONRBO algorithm compared to established algorithms including the Nondominated Sorting Genetic Algorithm-II (NSGA-II), Multi-objective Evolutionary Algorithm based on Decomposition (MOEA-D), and Multi-objective Particle Swarm Optimization with Crowding Distance (MOPSO-CD). …”
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