An Integrated Problem of p-Hub Location and Revenue Management with Multiple Capacity Levels under Disruptions by Yan-Ting Hou, Jia-Zhen Huo, Feng Chu

“…Furthermore, a sample average approximation approach is used for solving the stochastic programming formulation and a genetic algorithm approach is applied for both formulations. …”
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Adaptive Hybrid Control of Vehicle Semiactive Suspension Based on Road Profile Estimation by Yechen Qin, Mingming Dong, Reza Langari, Liang Gu, Jifu Guan

“…To achieve this, analytical expressions for ride comfort, road handling, and rattle space with respect to road input are derived based on the hybrid control, and the problem is transformed into a MOOP (Multiobjective Optimization Problem) and has been solved by NSGA-II (Nondominated Sorting Genetic Algorithm-II). A new road estimation and classification method, which is based on ANFIS (Adaptive Neurofuzzy Inference System) and wavelet transforms, is then presented as a means of detecting the road profile level, and a Kalman filter is designed for observing unknown states. …”
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Hybrid Metaheuristics for Solving a Fuzzy Single Batch-Processing Machine Scheduling Problem by S. Molla-Alizadeh-Zavardehi, R. Tavakkoli-Moghaddam, F. Hosseinzadeh Lotfi

“…Then, due to the complexity of the problem, which is NP-hard, we design two hybrid metaheuristics called GA-VNS and VNS-SA applying the advantages of genetic algorithm (GA), variable neighborhood search (VNS), and simulated annealing (SA) frameworks. …”
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Neural Network Predictive Control for Vanadium Redox Flow Battery by Hai-Feng Shen, Xin-Jian Zhu, Meng Shao, Hong-fei Cao

“…A radial basis function (RBF) network is employed to approximate the dynamics of the VRB system. The genetic algorithm (GA) is used to obtain the optimum initial values of the RBF network parameters. …”
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Stochastic robot failure management in an assembly line under industry 4.0 environment by Kuldip Singh Sangwan, Anirudh Tusnial, Suveg V Iyer

“…The paper demonstrates the superiority of the proposed model over the genetic algorithm and differential evolution models. The robustness of the proposed model is evaluated at different production rates. …”
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Exploiting social reciprocity for auction-based spectrum allocation in femtocell networks by Feng Zhao, Haibo Tang, Hongbin Chen

“…Such a matter is formulated as an integer programming optimization problem, and a modified quantum genetic algorithm is developed to solve the optimization problem. …”
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Recurrent Deep Learning for Beam Pattern Synthesis in Optimized Antenna Arrays by Armando Arce, Fernando Arce, Enrique Stevens-Navarro, Ulises Pineda-Rico, Marco Cardenas-Juarez, Abel Garcia-Barrientos

“…Beam patterns are optimized using a genetic algorithm during the training phase in order to reduce sidelobes and achieve high directivity. …”
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Synthesis of Circular Array Antenna for Sidelobe Level and Aperture Size Control Using Flower Pollination Algorithm by V. S. S. S. Chakravarthy Vedula, S. R. Chowdary Paladuga, M. Rao Prithvi

“…The effectiveness of the FPA is studied by comparing the results with genetic algorithm (GA) and uniform circular array antenna (UCAA) with uniform spacing. …”
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Detecting Anomalies in Meteorological Data Using Support Vector Regression by Min-Ki Lee, Seung-Hyun Moon, Yourim Yoon, Yong-Hyuk Kim, Byung-Ro Moon

“…In the selection process, a multiobjective genetic algorithm is used to optimize the two objective functions. …”
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Managing Air Traffic Flow With Link Flow Rate Control: A Pure Integer Programming Model With More Accurate Link Connection Modeling by Han Zhong, Lai Wei, Wei Guan, Wenyi Zhang

“…The optimization problem is computationally NP-hard, and a modified genetic algorithm is then presented to solve it. Besides a new chromosome coding rule for converting binary decision into time series vectors, the algorithm uses a taboo mutation operator and an adaptive mutation probability selection operator. …”
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Optimizing of Transmission Gear Ratio based on Cruise-Isight Co-simulation by Ai Xiaochen, Zheng Guangyong, Zhang Shoufeng, Zeng Hao

“…By using multi-island genetic algorithm,the transmission gear ratio is optimized separately under certain traction ability and structural design constraints,a basic optimized scheme which can meets performance target is gotten. …”
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DYNAMIC DESIGN OPTIMIZATION OF A TURBOPROP ENGINE VIBRATION ISOLATION SYSTEM by ZHANG Di, LI Jian, WEI Wei, MENG WeiHua, ZHANG HongXiao

“…This paper takes a turboprop engine installation system as an example, uses this method to establish a six-degree-of-freedom installation system dynamics model, and combines the NSGA-Ⅱ genetic algorithm with the installation system dynamics analysis. …”
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Scatterer information based indoor NLOS multiple base station cooperative localization algorithm by Liangbo XIE, Sheng LI, Mu ZHOU, Ze LI, Zengshan TIAN, Ya WANG, Changyou FU

“…In indoor environments, the localization accuracy of existing line of sight (LOS) solutions will deteriorate severely in non-line-of-sight (NLOS) environment.In order to solve this problem, an scatterer information based indoor NLOS multiple base stations cooperative localization algorithm was proposed, which could realize localization when no LOS path was available.Firstly, the target NLOS area and scatterer blur area were collaboratively determined through multiple AP and joint scene prior information.Secondly, the areas of scatterer were further constrained according to the angle of arrival.Then, an error minimization equation based on the differential time of flight was established by employing angle, scatterer and time.Finally, a hybrid algorithm using genetic algorithm and Levenberg Marquardt algorithm was proposed to solve the objective equation.Simulation and measurement results show that the proposed algorithm can localize the target with only NLOS paths.…”
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Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization by Tinggui Chen, Renbin Xiao

“…It has been shown to be superior to some conventional intelligent algorithms such as genetic algorithm (GA), artificial colony optimization (ACO), and particle swarm optimization (PSO). …”
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Research on Loading and Unloading Resource Scheduling and Optimization of Rail–Road Transportation in Container Terminal Based on “Internet +” —for Ghana Container Port Development... by Qi Zhang, Adjei Courage Kwabla, Yanhui Zhuang, Mingjun Ling, Yuguang Wei, Hao Yang

“…In order to solve the model, a multi-layer coding genetic algorithm with chromosome feasibility is designed to obtain the optimal scheduled time for the truck, and the optimal operation sequence of the gantry crane. …”
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An Optimization to Schedule Train Operations with Phase-Regular Framework for Intercity Rail Lines by Huimin Niu, Minghui Zhang

“…A nonlinear mixed zero-one programming model, which could accurately calculate the passenger waiting time and the in-train crowded cost, is developed in this study. A hybrid genetic algorithm associated with the layered crossover and mutation operation is carefully designed to solve the proposed model. …”
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A Combined Average-Case and Worst-Case Analysis for an Integrated Hub Location and Revenue Management Problem by Jia-Zhen Huo, Yan-Ting Hou, Feng Chu, Jun-Kai He

“…To solve this problem, a genetic algorithm is applied. Computational results demonstrate the outperformance of the proposed formulation.…”
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OPTIMAL DESIGN OF MODIFIED SPUR GEARS BASED ON MINIMUM FLASH TEMPERATURE by YU DongYang, JIANG JinKe, SONG Qiang, FANG ZongDe

“…Considering the installation error and tooth flank clearance of modified involute cylindrical gears influencing on load density,oil film thickness,and local friction coefficient.an optimum design method based on the minimum flash temperature was proposed.Applied TCA and LTCA to modification technology,the friction coefficient was determined according to the film thickness ratio under different lubricating condition,oil film thickness and loads on contact line were discretized,so discrete temperature according to the Blok flash temperature formula were got.used genetic algorithm to optimize the parameter of curve,and got the best deviation surface.the results shows that there are more uniform loads and flash temperature with modified gears,while the smallest is at engaging-in area due to the effect of curvature radius,besides the flash temperature has little changes in the single tooth meshing zone of spur gear.…”
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Study on Multiobjective Modeling and Optimization of Offshore Micro Integrated Energy System considering Uncertainty of Load and Wind Power by Jun Wu, Baolin Li, Jun Chen, Qinghui Lou, Xiangyu Xing, Xuedong Zhu

“…Then, the improved hybrid constraints handling strategy based on nondominated sorting genetic algorithm II (IHCHS-NSGAII) was introduced to solve the model efficiently. …”
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Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes by Hua Wang, Ling Xiao, Zhang Chen

“…A simulation-based genetic algorithm is proposed to solve the model. With numerical experiments, we demonstrate the value of deploying inverse-direction EV lanes and the computational efficiency of the proposed algorithm. …”
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