Emergency Resource Location and Allocation in Traffic Contingency Plan for Sports Mega-Event by Ling Shen, Jian Lu, Ling Deng, Manman Li

“…Considering the slowness of convergence rate when the road network is large, a modified matrix real-coded genetic algorithm is designed with the crossover operator based on a greedy algorithm. …”
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The Effect of Effective Factors on Consumer Behavior in Iran\'s Best Shopping Centers Based on the Principles of Urban Management by mahmood samadi, mahmoud nooraei, Mohammad mehdi Mozaffari, babak haji karimi

“…The method of selecting shopping centers based on artificial intelligence studies has been done through genetic algorithm. The criteria for choosing the centers are optimal according to the principles of urban management. …”
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Sparse Antenna Array Design for MIMO Radar Using Multiobjective Differential Evolution by Zhi-Kun Chen, Feng-Gang Yan, Xiao-Lin Qiao, Yi-Nan Zhao

“…Numerical examples are provided to demonstrate the advantages of the proposed approach over state-of-the-art methods, including DE and genetic algorithm.…”
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Real-Time Pipeline Leak Detection: A Hybrid Deep Learning Approach Using Acoustic Emission Signals by Faisal Saleem, Zahoor Ahmad, Jong-Myon Kim

“…The core of the framework combines convolutional neural networks (CNNs) with long short-term memory (LSTM), ensuring a comprehensive examination of both spatial and temporal features of AE signals. A genetic algorithm (GA) optimizes the neural network by isolating the most important features for leak detection. …”
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Multi-objective Optimization Design of Planetary Cycloidal Reducer Structure with Considering Failure Correlation by Shengyu Zheng, Gang Zhao, Zhengming Xiao, Jialin Tan, Jiawei Liu

“…Taking a heavy-duty planetary cycloidal reducer as the research object，the reliability mathematical model of each subcomponent is constructed based on the force analysis of two-stage transmission system subcomponents，and the reliability is correlated and coupled by Copula function to construct a system reliability model considering failure correlation； on this basis，a multi-objective optimization model with minimum volume and maximum reliability is constructed，and NSGA-Ⅱ（Non-dominated sorted genetic algorithm-Ⅱ） algorithm is used to solve the model，and it is compared and analyzed with the system reliability model considering the independence assumption. …”
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A Bilevel Programming Model to Optimize Train Operation Based on Satisfaction for an Intercity Rail Line by Zhipeng Huang, Huimin Niu

“…The trains operation in different periods can be optimized through upper layer planning of the model, while considering the passenger flow distribution problem based on the Wardrop user equilibrium principle in the lower layer planning. Then, a genetic algorithm is designed according to model features for solving the upper laying. …”
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Research on Energy-Efficient Building Design Using Target Function Optimization and Genetic Neural Networks by Youxiang Huan

“…METHODS: A multi-objective optimization method, using the non-sorting genetic algorithm (NSGA-II), assesses energy efficiency by determining optimal wall types, insulation thickness, and insulation type. …”
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OPTIMIZATION OF FATIGUE LIFE OF TRANSMISSION SHAFT BASED ON RESPONSE SURFACE METHOD by LIU LongJie, ZHAO LiHui, SHI ChengMiao, ZHENG SongLin, WENG Shuo, LIU XiangZhen, DAI Lei

“…The response surface method and genetic algorithm are used to optimize the structural parameters of the transmission shaft（tooth root fillet, spline transition arc, and arc groove depth）. …”
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Development of a Nonlinear Integer Optimization Model for Tenant Mix Layout in a Shopping Centre by Hongyue Lv, Ting-Kwei Wang

“…To solve this problem, a nonlinear integer optimization model with defined characteristics was proposed and solved using a genetic algorithm. A shopping centre case study is also presented to verify the performance of the model.…”
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Rolling Bearing Degradation State Identification Based on LPP Optimized by GA by He Yu, Hong-ru Li, Zai-ke Tian, Wei-guo Wang

“…And then, locally preserving projection (LPP) is utilized to reduce dimension of original fusion feature set and genetic algorithm is applied to optimize the process of feature fusion. …”
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A Comparative Study of Genetic and Firefly Algorithms for Sensor Placement in Structural Health Monitoring by Guang-Dong Zhou, Ting-Hua Yi, Huan Zhang, Hong-Nan Li

“…In this paper, a comparative study between the genetic algorithm (GA) and the firefly algorithm (FA) in solving the OSP problem is conducted. …”
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Analysis and Implementation of Optimization Techniques for Facial Recognition by Justice Kwame Appati, Huzaifa Abu, Ebenezer Owusu, Kwaku Darkwah

“…For the purpose of performance comparison, the resultant features were also optimized with the genetic algorithm (GA) and the artificial bee colony (ABC). …”
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Optimization of Aircraft Climb Trajectory considering Environmental Impact under RTA Constraints by Junqiang Wan, Honghai Zhang, Fangzi Liu, Wenying Lv, Yifei Zhao

“…Then, considering the fuel economy and the greenhouse effect of pollutant emission, we establish a multiobjective model of aircraft flight parameter optimization, and, based on the multiobjective genetic algorithm, we establish an optimization model. …”
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Research on Minimum Time Interception Problem with a Tangent Impulse under Relative Motion Models by Wenzhe Ding, Xinhong Li, Hong Yang

“…Secondly, considering the initial drift when the impulse point is freely selected, the genetic algorithm-sequential quadratic programming (GA-SQP) combination optimization method is used to obtain the minimum time interception solution under the tangent impulse in a target motion cycle. …”
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Integrated Scheduling of Multi-Objective Job Shops and Material Handling Robots with Reinforcement Learning Guided Meta-Heuristics by Zhangying Xu, Qi Jia, Kaizhou Gao, Yaping Fu, Li Yin, Qiangqiang Sun

“…Second, three meta-heuristics, i.e., genetic algorithm (GA), differential evolution, and harmony search, are employed, and their variants with seven local search operators are devised to enhance solution quality. …”
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Comparative analysis of FACT devices for optimal improvement of power quality in unbalanced distribution systems by Ahmed M. Elkholy, Dmitry I. Panfilov, Ahmed E. ELGebaly

“…In this paper, the mode of operation of each device is determined every hour to flow the changing in loads according to their daily load curve. The genetic algorithm (GA) is utilized to determine the contribution of the unified flow controller to balance the loads between phases. …”
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Nuclear Power Plant Maintenance Optimization with Heuristic Algorithm by Andrija Volkanovski, Leon Cizelj

“…The optimal solution of the objective function is estimated with genetic algorithm. The proposed method is applied on probabilistic safety analysis model of the selected safety system of the reference nuclear power plant. …”
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A Vibration-Related Design Parameter Optimization Method for High-Speed Elevator Horizontal Vibration Reduction by Lemiao Qiu, Zili Wang, Shuyou Zhang, Lichun Zhang, Jie Chen

“…We adopted a multiobjective genetic algorithm to optimize the design parameters for horizontal vibration reduction and used the min-max standardization method to select an optimal solution set. …”
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A new method for recognizing geometric parameters of industrial robots by Bin Kou, Yi Zhang

“…Following this, we improve the accuracy of global optimization of the particle swarm optimization (PSO) algorithm by drawing on the wandering behavior of the wolf pack algorithm and hybridization behavior of the genetic algorithm. We balance the convergence of the PSO algorithm by using a linearly diminishing weight. …”
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Resource Assignment Algorithms for Autonomous Mobile Robots with Task Offloading by Giuseppe Baruffa, Luca Rugini

“…For comparison purposes, a genetic algorithm (GA) is used as the baseline for the proposed optimization techniques. …”
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