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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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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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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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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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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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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Analysis and Dynamic Prediction of Bus Dwell Time Under Rainfall Conditions by Baoyun SUN, Yaping YANG, Lei DONG, Honglin LU, Zimin WANG

“…Support vector machine, k-nearest neighbour and backpropagation (BP) prediction models were established, and the BP neural network model, having the best prediction effect, was optimised using a genetic algorithm (GA). The constructed GA-BP prediction model was more realistic than the BP prediction model and can be used to predict bus dwell times under rainfall conditions. …”
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Integration research of blockchain and social networks in rural management systems under fuzzy cognitive environment by Wencun Wang, Jun Yao, Di Zhao, Can Huang

“…The system automatically invokes the Matlab dynamic link library and employs a hybrid genetic algorithm to plan delivery routes. This study presents key findings on implementing an intelligent rural management system incorporating fuzzy sets, blockchain, and IoT technology. …”
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Multi-Item Multiperiodic Inventory Control Problem with Variable Demand and Discounts: A Particle Swarm Optimization Algorithm by Seyed Mohsen Mousavi, S. T. A. Niaki, Ardeshir Bahreininejad, Siti Nurmaya Musa

“…To assess the efficiency of the proposed MOPSO, the model is solved using multi-objective genetic algorithm (MOGA) as well. A large number of numerical examples are generated at the end, where graphical and statistical approaches show more efficiency of MOPSO compared with MOGA.…”
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