Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm by R. Sarjila, K. Ravi, J. Belwin Edward, K. Sathish Kumar, Avagaddi Prasad

“…A critical evaluation and comparison of gravitational search algorithm with other optimization techniques such as genetic algorithm are given. Extensive simulation analyses are carried out on the proposed method and show that GSA is much suitable for parameter extraction problem.…”
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TURBINE DISK PROFILE OPTIMIZATION APPLYING DESIGN OF EXPERIMENT AND RESPONSE SURFACE METHOD by ZHANG ZhiYi, LIU Yang, PI ZiZi, DENG XiaoTao, DENG YiTai

“…Present research demonstrates that ANSYS Workbench platform integrating geometry modeling,stress analysis and optimization module can minimize the difficulties of optimization work,the accuracy of surrogate model using Design of Experiments（ DOE） and Response Surface Method（ RSM） can satisfy engineering requirements and the application of combination optimization strategy involving DOE,RSM and Multi-Objective Genetic Algorithm（ MOGA） can obviously enhance the optimization efficiency.…”
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Integrated Berth Allocation and Time-Variant Quay Crane Scheduling with Tidal Impact in Approach Channel by Xiaogang Jiao, Feifeng Zheng, Ming Liu, Yinfeng Xu

“…An integer linear programming model is developed, and then three heuristic algorithms, Genetic Algorithm, Hybrid Particle Swarm Optimization, and Hybrid Simulated Annealing, are proposed to solve the model. …”
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Textual and chemical information processing: different domains but similar algorithms by Peter Willett

“…Applications discussed include: an algorithm for distribution sorting that has been applied to the design of screening systems for rapid chemical substructure searching; the use of measures of inter-molecular structural similarity for the analysis of hypertext graphs; a genetic algorithm for calculating term weights for relevance feedback searching for determining whether a molecule is likely to exhibit biological activity; and the use of data fusion to combine the results of different chemical similarity searches.…”
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Optimal Intersection Curves for Surfaces by Jiwen Gao, Faiza Sarfraz, Misbah Irshad, Jia-Bao Liu

“…Moreover, this paper utilizes genetic algorithm (GA) for optimization of shape parameters in the portrayal of cubic spline so that the error is minimal. …”
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Study on Modification Technology and Meshing Performance of Locomotive Traction Gear by Shi Xiaochun, Zhang Riming, He Weidong

“…According to partial load in the meshing process,the optimum gear profile modification curve is optimized by using genetic algorithm. Through the comparison and analysis of the two meshing states of the forward and reversal of the locomotive gear,it can be found the load distribution on the teeth is more uniform,the stress concentration phenomenon caused by partial load is improved,and the maximum value of contact stress and bending stress significantly is reduced. …”
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Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature Map by Mehdi Nikoo, Łukasz Sadowski, Faezehossadat Khademi, Mohammad Nikoo

“…The SOFM was optimized using the genetic algorithm (GA) in order to determine the number of layers, number of nodes in the hidden layer, transfer function type, and learning algorithm. …”
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Allocating Freight Empty Cars in Railway Networks with Dynamic Demands by Ce Zhao, Lixing Yang, Shukai Li

“…The objective of this model is to minimize the total cost incurred by transferring and storing empty cars in different stages. Moreover, a genetic algorithm is designed to obtain the optimal empty cars distribution strategies in railway networks. …”
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Research on Optimal Control for the Vehicle Suspension Based on the Simulated Annealing Algorithm by Jie Meng, Qingzhang Chen, Ren He

“…The result shows that the active suspension using LQR optimized by the genetic algorithm compared to the chassis controlled by the normal LQR and the passive one, shows better performance. …”
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A Scatter Search Approach for Multiobjective Selective Disassembly Sequence Problem by Xiwang Guo, Shixin Liu

“…The validity of ISS is verified by comparing the optimization effects of ISS and nondominated sorting genetic algorithm (NSGA-II).…”
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Improved Optimization Study of Integration Strategies in Solar Aided Coal-Fired Power Generation System by Rongrong Zhai, Miaomiao Zhao, Chao Li, Pan Peng, Yongping Yang

“…This study mainly improves the solar thermal storage system. Genetic algorithm is used to optimize the SACFPGS. The best integration approach of the system, the collector area, and the corresponding thermal storage capacity to replace each high-pressure extraction are obtained when the amount of coal saving in unit solar investment per hour is at its largest. …”
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Collection policy refining method for threat monitoring in complex network environment by Fenghua LI, Zifu LI, Ling LI, Ming ZHANG, Kui GENG, Yunchuan GUO

“…Personalized collect policy is one of the necessary conditions for effectively monitoring threats in the complex network environment.However,differences in security requirements and threat types make it difficult to effectively generate personalized collect policy.To address the above problem,a collection policy automatic refinement method was designed.Firstly,a hierarchical model of collection policy was proposed.Then,by transforming the policy refinement into a nonlinear optimization problem,a genetic algorithm was designed to balance between collection revenue and collection cost.Finally,simulation experiments verify that according to the requirements of high-level monitoring,the acquisition scheme can be automatically generated.…”
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Two-Echelon Multidepot Logistics Network Design with Resource Sharing by Siyu Luo, Yong Wang, Jinjun Tang, Xiangyang Guan, Maozeng Xu

“…Integrating a customer clustering algorithm, a greedy algorithm, and an improved nondominated sorting genetic algorithm-II (Im-NSGA-II), a hybrid method is then designed to handle the 2E-CMDPDTW model. …”
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Investigating the Working Efficiency of Typical Work in High-Altitude Alpine Metal Mining Areas Based on a SeqGAN-GABP Mixed Algorithm by Ning Hua, He Huang, Xinhong Zhang

“…Third, a model based on the sequence generative adversarial network genetic algorithm backpropagation (SeqGAN-GABP) hybrid algorithm was established to predict the trends in the operating efficiency of typical work types in high-altitude alpine metal mining areas. …”
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Sinking Velocity Impact-Analysis for the Carrier-Based Aircraft Using the Response Surface Method-Based Improved Kriging Algorithm by Xiao-Feng Xue, Yuan-Zhuo Wang, Cheng Lu, Zhang Yun-Peng

“…The 4 parameters above could be used to establish the impact analysis model of the sinking velocity. The genetic algorithm is applied to the correction coefficients optimization of the IK-RSM’s kernel functions, and the IK-RSM of the F/A-18A aircraft sinking velocity is formed. …”
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Application of GA-BP Neural Network Optimized by Grey Verhulst Model around Settlement Prediction of Foundation Pit by C. Y. Liu, Y. Wang, X. M. Hu, Y. L. Han, X. P. Zhang, L. Z. Du

“…Due to the limitation in the prediction of the foundation pit settlement, this paper proposed a new methodology which takes advantage of the grey Verhulst model and a genetic algorithm. In the previous study, excavation times are often the only factor to predict the settlement, which is mainly because the correspondence between real-time excavation depth and the excavation time is hard to determine. …”
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Multi-point path planning based on the algorithm of colony-particle swarm optimization by Lijue LIU, Shuning LUO, Yan GAO, Meifei CHEN

“…The problem of multi-point path planning is a NP-hard problem,which is equivalent to finding the shortest path of a starting point and some specific node.Aiming at the problem of multi-point path planning,a retrospective ant colony-particle swarm optimization algorithm was proposed.This algorithm used Floyd-Warshall to transform the graph and combined ant colony algorithm and particle swarm algorithm to find the shortest path.The experimental results show that this algorithm can find the precise solution under small data,at the same time,under a large amount of data,can be better than the maximum minimum ant colony algorithm and genetic algorithm.…”
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Improving the Accuracy of the Diffusion Model in Highly Absorbing Media by Alexander X. Cong, Haiou Shen, Wenxiang Cong, Ge Wang

“…In this paper, we presented a method to improve the accuracy of the diffusion model in strongly absorbing media by adjusting the optical parameters. Genetic algorithm-based optimization tool is used to find the optimal optical parameters. …”
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Research of Multi- Objective Optimization Design for Car Main Reduction Gear based on Response Surface Method by Zhou Dan

“…The main reducing gear parameter optimization are carried out by using the NSGA- Ⅱ multi- objective optimization genetic algorithm in which the tooth root bending stress,tooth surface contact stress and volume of the gears are defined as objective function,the solution set of the gears parameters are obtained. …”
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Multicast routing with delay constrain based on improved CSA by ZHANG Jing, WANG Lian-hong

“…With the application of the good gene information in the immaturity subpopulation,the improved clonal selection algorithm which was proposed,combined the principle of minimum cost and delay constrains to modify each individual gene so as to improve population.Meanwhile,an additional memory cell of the best individual accumulated in the process was set up to avoid population devolution.The optimized solution could be promptly searched and reached without prepared routing set.Simulation tests of multicast routing with delay constrain demonstrate that the improved clonal selection algorithm has better search efficiency,higher convergence speed,lower complexity of calculation,and better robust performance than the usual clonal selection algorithm and the genetic algorithm.…”
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