LSTM-Based Deep Model for Investment Portfolio Assessment and Analysis by Haohua Yang

“…The augury result of the neural reticulation was upgraded by coalesce attentional propose to the LSTM class, and a genetic algorithmic program product was formulated. Genetic algorithm (GA) updates the inalienable parameters to a higher generalization aptitude. …”
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PLANNING VESSEL BODY SECTION PRODUCTION by A. G. Grivachevsky, V. D. Grivachevsky, M. Y. Kovalyov, A. I. Suhomlinov

“…The problem is reduced to the classic Johnson’s tree-machine flow-shop scheduling problem. A genetic algorithm and computer experiment to compare efficiency of this algorithm and the algorithm of full enumeration are described.…”
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A novel minimal exposure path problem in wireless sensor networks and its solution algorithm by Hao Feng, Lei Luo, Yong Wang, Miao Ye, Rongsheng Dong

“…A series of simulation experiments demonstrates that the designed optimization model with constraints and the hybrid genetic algorithm can effectively solve the proposed minimal exposure path problem.…”
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纯电动物流车动力系统设计与优化 by 王永鼎, 李恒

“…In order to reasonably match the parameters of the electric logistics vehicle power system,according to the technical requirements of the electric logistics vehicle,the preliminary design and calculation of the relevant parameters of the electric logistics vehicle are carried out,and the whole vehicle simulation model is built by AVL-Cruise on the basis of the simulation conditions.Based on the complexity of parameter matching of pure electric logistics vehicle power system,various parameters need to be considered comprehensively,and a multi-objective genetic algorithm optimization method is proposed.The optimization method takes the vehicle’s power and economy as the optimization goal at the same time,and takes the maximum vehicle speed and acceleration time as constraints,establishes the transmission system optimization model and finds its optimal solution.Through the simulation analysis of the optimized parameters,the feasibility and rationality of the multi-objective genetic algorithm for the optimization of the power system of the electric logistics vehicle is presented,which provides a new way for the optimization of the power system parameters of the electric logistics vehicle.…”
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A Robust Hybrid Approach Based on Estimation of Distribution Algorithm and Support Vector Machine for Hunting Candidate Disease Genes by Li Li, Hongmei Chen, Chang Liu, Fang Wang, Fangfang Zhang, Lihua Bai, Yihan Chen, Luying Peng

“…The method was compared with a probabilistic model based on genetic algorithm and another hybrid method based on both genetics algorithm and support vector machine. …”
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A Modified NM-PSO Method for Parameter Estimation Problems of Models by An Liu, Erwie Zahara, Ming-Ta Yang

“…The results demonstrate that the proposed M-NM-PSO method yields better estimation results than those obtained by the genetic algorithm, the modified genetic algorithm (real-coded GA (RCGA)), the conventional particle swarm optimization (PSO) method, and the conventional NM-PSO method.…”
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Data-Driven Approaches for Diagnosis of Incipient Faults in Cutting Arms of the Roadheader by Qiang Liu, Songyong Liu, Qianjin Dai, Xiao Yu, Daoxiang Teng, Ming Wei

“…In this study, four machine learning tools (the back-propagation neural network based on genetic algorithm optimization, the naive Bayes based on genetic algorithm optimization, the support vector machines based on particle swarm optimization, and the support vector machines based on dynamic cuckoo) are applied to address the challenge in the IFDI of cutting arms. …”
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A Design of Parameters with Supercritical Carbon Dioxide Brayton Cycle for CiADS by Yichuan He, Aihua Dong, Min Xie, Yang Liu

“…The influences of the key parameters on thermodynamic properties of SCO2 Brayton Cycle are discussed and the comparative analyses on genetic algorithm and pattern search algorithm are conducted. …”
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Damage Detection of a Continuous Bridge from Response of a Moving Vehicle by Z. H. Li, F. T. K. Au

“…At the second stage, the identification problem is transformed into a global optimization problem and is solved by genetic algorithm techniques. For each pass of the vehicle, the method can identify the location of the damage until it is determined with acceptable accuracy. …”
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Cement Transport Vehicle Routing with a Hybrid Sine Cosine Optimization Algorithm by Vu Hong Son Pham, Van Nam Nguyen

“…To demonstrate the advantages of the developed hybrid sine cosine algorithm, this algorithm is evaluated and compared with modern algorithms such as sine cosine algorithm, dragonfly algorithm, grey wolf optimizer, ant lion optimizer, particle swarm optimization, modified hybrid particle swarm optimization, genetic algorithm, and the double-population genetic algorithm in case studies. …”
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Spectral Quantitative Analysis Model with Combining Wavelength Selection and Topology Structure Optimization by Qian Wang, Boyan Cai, Yajie Yu, Hui Cao

“…In order to present the effectiveness of the methods, the partial least squares with full spectrum, the partial least squares combined with genetic algorithm, the uninformative variable elimination method, the backpropagation neural network with full spectrum, the backpropagation neural network combined with genetic algorithm, and the proposed method are performed for building the component prediction model. …”
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Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network by Lukas Falat, Dusan Marcek, Maria Durisova

“…They also incorporate genetic algorithm as an optimizing technique for adapting parameters of ANN which is then compared with standard backpropagation and backpropagation combined with K-means clustering algorithm. …”
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An Airway Network Flow Assignment Approach Based on an Efficient Multiobjective Optimization Framework by Xiangmin Guan, Xuejun Zhang, Yanbo Zhu, Dengfeng Sun, Jiaxing Lei

“…Secondly, the nondominated sorting genetic algorithm II is applied for each population. In addition, a cooperative coevolution algorithm is adapted to divide the ANFA problem into several low-dimensional biobjective optimization problems which are easier to deal with. …”
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Adaptive distributed cloud edge collaborative load control strategy for load management by LI Siwei, JIN Li, YU Long, DU Lishi, YUE Liang, ZHANG Xirun

“…Finally, the computational resource allocation was solved by genetic algorithm based on adaptive cross-mutation probability. …”
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An Integrated Metaheuristic Routing Method for Multiple-Block Warehouses with Ultranarrow Aisles and Access Restriction by Fangyu Chen, Gangyan Xu, Yongchang Wei

“…A problem-specific routing algorithm integrating ant colony optimization (ACO) and integer-coded genetic algorithm (GA) is developed to address the newly observed limitations imposed by ultranarrow aisles and access restriction, which exist in the largest e-commerce enterprise with self-run logistics in China. …”
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Modified shuffled frog-leaping algorithm to solve traveling salesman problem by LUO Xue-hui, YANG Ye, LI Xia

“…Modified shuffled frog-leaping algorithm to solve TSP was proposed,which presented the concept of adjustment sequence to design the strategy of local searching,and added the mutation operation in the global exchange of information.Experimental results indicate that,compared with genetic algorithm and particle swarm optimization algorithm,the proposed algorithm has more powerful search capability and more strong robustness in solving TSP.…”
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Spatial Layout Optimization in Urban Renewal Based on Improved NSGAII Algorithm by Xuan Han, Baishu Xia

“…A multi-objective optimization method based on the improved non-dominated sorting genetic algorithm II was proposed to address the problem of spatial layout optimization in urban renewal. …”
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Implementation of CT Image Segmentation Based on an Image Segmentation Algorithm by Lingli Shen

“…Therefore, this study has proposed a combination of genetic algorithm (GA) and Great Law (OTSU) algorithm to form an image segmentation algorithm-immune genetic algorithm (IGA) algorithm. …”
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A Class of Fuzzy Variational Inequality Based on Monotonicity of Fuzzy Mappings by Zezhong Wu, Jiuping Xu

“…Finally, method of solution is discussed based on genetic algorithm.…”
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Modeling and Parameter Identification of the MR Damper Based on LS-SVM by Cheng Qian, Xiaoliang Yin, Qing Ouyang

“…Firstly, the theory of the modeling method based on LS-SVM was illustrated including the genetic algorithm (GA) optimization method. Secondly, the characteristic curve of the MR damper was tested based on different conditions. …”
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