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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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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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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A four-primary-color micro-LED display with wide color gamut, low blue light hazard, and promise to improve working efficiency in the working conditions by Peiyu Sun, Min Min, Qingfeng Wu, Weijun Huang, Qing Xiao, Wei Xiao, Chaodan Zheng

“…In this study, we use genetic algorithm to search the displays satisfying the demands of health, wide color gamut, and promise to improve working efficiency in the working conditions, when the correlated color temperature is around 6500 K. …”
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Research on Optimization of Customized Bus Routes Based on Uncertainty Theory by Zi Sang, Bing Zhang, Yunqiang Xue, Hongzhi Guan

“…In this study, the uncertainty theory is introduced into the optimization problem of a customized bus route, and an uncertain customized bus route optimization model is established, which aims at the minimizing the total mileage of vehicle operation. An improved genetic algorithm is used to solve the model, whose feasibility is verified by a case study. …”
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Design and Analysis of a Thinned Phased Array Antenna for 5G Wireless Applications by Cheon-Bong Moon, Jin-Woo Jeong, Kyu-Hyun Nam, Zhou Xu, Jun-Seok Park

“…For uniform spacing array antenna, a certain number of elements can be removed, while maintaining a desired radiation pattern using genetic algorithm optimization. Parameters such as beamwidth and side lobe level are evaluated for proposed thinned array antenna by comparison with those obtained for different types of uniform array antennas. …”
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Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm by Yourim Yoon, Zong Woo Geem

“…First, 10 single algorithms were considered including genetic algorithm, simulated annealing, particle swarm optimization, harmony search, differential evolution, cuckoo search, least squares method, and pattern search; then their final solutions were used as initial vectors for generalized reduced gradient technique. …”
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A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks by Umesh Kumar Lilhore, Osamah Ibrahim Khalaf, Sarita Simaiya, Carlos Andrés Tavera Romero, Ghaida Muttashar Abdulsahib, Poongodi M, Dinesh Kumar

“…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …”
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Presenting a model for solving lot-streaming hybrid flow shop scheduling problem by considering independent setup time and transportation time by Roja Ruhbakhsh, Esmaeil Mehdizadeh, Mohammad Amin Adibi

“…Inspired by previous studies, two multi objective metaheuristic algorithms based on the genetic algorithm is used to solve the large-scale problems. …”
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Smart Approach for Botnet Detection Based on Network Traffic Analysis by Alaa Obeidat, Rola Yaqbeh

“…In this article, we suggest a method for identifying the behavior of data traffic using machine learning classifiers including genetic algorithm to detect botnet activities. By categorizing behavior based on time slots, we investigate the viability of detecting botnet behavior without seeing a whole network data flow. …”
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Optimum Arrangement of Reactive Power Sources While Using Genetic Algori by A. M. Gashimov, R. N. Rakhmanov, S. T. Rakhmanov

“…The proposed methodology is based on application of a genetic algorithm. Total expenses for installation of capacitor banks, their operation and also expenses related to electric power losses are considered as an efficiency function which is used for determination of places with optimum values of capacitor bank power. …”
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The Definition Method and Optimization of Atomic Strain Tensors for Nuclear Power Engineering Materials by Xiangguo Zeng, Ying Sheng, Huayan Chen, Tixin Han

“…To guarantee the reliability of subsequent parameters identification result and lighten the calculation workload of parameters identification, an overall analysis method of parameter sensitivity and an advanced genetic algorithm are also developed.…”
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A Practical Model for Inbound Container Distribution Organization in Rail-Water Transhipping Terminal by Jiahao Zhao, Xiaoning Zhu, Yong Liu, Li Wang, Baicheng Yan

“…Additionally, a genetic algorithm (GA) was developed and the optimization results were evaluated, which showed that both of the model and the algorithm were effective.…”
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Intelligent Prediction of Sieving Efficiency in Vibrating Screens by Bin Zhang, Jinke Gong, Wenhua Yuan, Jun Fu, Yi Huang

“…Based on the experiments, least square support vector machine (LS-SVM) was established to predict the sieving efficiency, and adaptive genetic algorithm and cross-validation algorithm were used to optimize the parameters in LS-SVM. …”
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An Incremental-Hybrid-Yager’s Entropy Model for Dynamic Portfolio Selection with Fuzzy Variable by Yin Li, Jian Tao, Yazhi Song

“…At last, a compromised genetic algorithm is designed, and the numerical example shows that the proposed model achieves solid returns compared against the mean-variance model and Markov chain Monte Carlo method.…”
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Research on the Rate of Penetration Prediction Method Based on Stacking Ensemble Learning by Yangfeng Ren, Baoping Lu, Shuangjin Zheng, Kai Bai, Lin Cheng, Hao Yan, Gan Wang

“…This model integrates the K-nearest neighbor algorithm and support vector machine algorithm by stacking ensemble strategy and uses genetic algorithm to optimize model parameters, forming a new method of ROP prediction suitable for this oilfield. …”
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