Distributed communication interference resource scheduling using the master-slave parallel scheduling genetic algorithm by Zhenhua Wei, Wenpeng Wu, Jianwei Zhan, Zhaoguang Zhang

“…The proposed model can improve the scheduling ability of the master-slave parallel scheduling genetic algorithm (MSPSGA) in terms of the number of interference devices and the system’s operational time by using four scheduling strategies referring to the searching number, global number, master-slave population power, and fixed-position power. …”
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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

“…In this study, we have used a channel attention-enabled deep learning model as a feature extractor followed by an adaptive Genetic Algorithm (GA) based feature selector. Here, we calculate the fitness score of each chromosome (i.e., a candidate solution) using a filter method, instead of a classifier. …”
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Application of Optimal Scheduling Model Based on Improved Genetic Algorithm in Electric Power Mobile Operation by Rui Fan, Huiying Jing, Zhixin Jing

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Bearing Fault Diagnosis Method based on Self-adaptive Stochastic Resonance of Genetic Algorithm and VMD by Zhang Chao, He Yuanyuan

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RESEARCH ON PERFORMANCE PREDICTION OF THIN SEAM SHEARER BY COMBINING GENETIC ALGORITHM WITH BP NEURAL NETWORK by ZHAO LiJuan, JIN ZhongFeng

Subjects: “…Genetic algorithm…”
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Hybrid genetic algorithm to minimize scheduling cost with unequal and job dependent earliness tardiness cost by Prasad Bari, Prasad Karande, Vaidehi Bag

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Advanced Genetic Algorithms for Optimal Battery Siting: A Practical Methodology for Distribution System Operators by Edward Alejandro Ortiz, Josimar Tello-Maita, David Celeita, Agustin Marulanda Guerra

“…This study investigates the use of advanced genetic algorithms as a practical methodology for the optimal siting of batteries in modern distribution networks. …”
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Dynamic　Bandwidth　Allocation　Technique　in　ATM　Networks　Based　on　Fuzzy　Neural　Networks　and　Genetic　Algorithm by Zhang Liangjie Li Yanda Wang Pu (Dept of Automation Tsinghua University, Beijing 100084)

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ROTATING MACHINERY DEGRADATION STATUS IDENTIFICATION BASED ON BI-OBJECTIVE OPTIMIZATION GENETIC ALGORITHM AND SVM by PEI MoChao, ZHANG JianJun, LI HongRu, YU He

Subjects: “…Bi-objective optimization genetic algorithm（BOGA）…”
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Reduced Complexity Iterative Decoding of 3D-Product Block Codes Based on Genetic Algorithms by Abdeslam Ahmadi, Faissal El Bouanani, Hussain Ben-Azza, Youssef Benghabrit

“…Those features make the decoders based on genetic algorithms efficient and attractive.…”
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A Modified Decision Tree Algorithm Based on Genetic Algorithm for Mobile User Classification Problem by Dong-sheng Liu, Shu-jiang Fan

“…Aimed at the limitations of previous classification methods, this paper puts forward a modified decision tree algorithm for mobile user classification, which introduced genetic algorithm to optimize the results of the decision tree algorithm. …”
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Coverage repair strategies for wireless sensor networks based on muti-mobile nodes and genetic algorithm by Miao YE, Yu-ping WANG, Jing-xuan WEI

“…A repairing strategy for the coverage of the sensor network based on multi-mobile nodes and path planning is designed.Such mechanism can ultimately repair common nodes in a timely fashion via energy consumption analysis of the nodes by using genetic algorithm to calculate the reasonable moving path of the mobile nodes,which can avoid cov-erage holes caused by the death of sensor nodes at its best.The global convergence the designed algorithm is proved by stochastic process.Simulation experiments have proven the effectiveness of the designed mechanism and the relevant solution algorithm.…”
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Detecting Communities in Complex Networks Using an Adaptive Genetic Algorithm and Node Similarity-Based Encoding by Sajjad Hesamipour, Mohammad Ali Balafar, Saeed Mousazadeh

“…Among different community detection methods, genetic algorithms (GAs) have become popular. Considering the drawbacks of the currently used locus-based and solution-vector-based encodings to represent the individuals, in this article, we propose (1) a new node similarity-based encoding method, MST-based encoding, to represent a network partition as an individual, which can avoid the shortcomings of the previous encoding schemes. …”
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Optimizing Train-Set Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm by Yun Wang, Yu Zhou, Xuedong Yan

“…An integer programming TCP model is established to optimize the train-set utilization scheme, aiming to obtain the one-to-one correspondence relationship among sets of train-sets, trip tasks, and maintenances. A genetic algorithm (GA) is designed to solve the model. …”
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Clustering and Prediction Analysis of the Coordinated Development of China’s Regional Economy Based on Immune Genetic Algorithm by Yang Yang

“…Therefore, on the basis of studying the related theories of genetic algorithm and artificial immune algorithm, this paper uses the advantages of the two algorithms, combines the two algorithms, and proposes an improved algorithm for genetic algorithm-adaptive immune genetic algorithm. …”
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Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure Interaction by Wei Nie, Shuxian Liu, Hang Yin, Shasha Lu, Dongxu Zhao, Hong Xu

“…The results show that the improved multipopulation genetic algorithm method has faster convergence speed and greater accuracy than the traditional genetic algorithm; thus it can be applied to the TMDs parameter optimization of high-rise buildings. …”
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A Heuristic Genetic Algorithm for Regional Targets’ Small Satellite Image Downlink Scheduling Problem by Yan-Jie Song, Zhong-Shan Zhang, Kai Sun, Feng Yao, Ying-Wu Chen

“…We compare the effect of HGA, basic genetic algorithm (GA), and construction heuristic algorithm. …”
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Design and Application of Genetic Algorithm Based on Signal Game and Newsboy Model for Optimizing Supply Chain by Yue Zhao, Yang Shen, Jiaqi Yan

“…We use the model as the fitness function of a genetic algorithm that calculates the optimal solution and optimizes the total utility parameters. …”
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Signal Timing Optimization for Corridors with Multiple Highway-Rail Grade Crossings Using Genetic Algorithm by Yifeng Chen, Laurence R. Rilett

“…The primary goal is to maximize safety, and the secondary goal is to minimize delay. A Genetic Algorithm (GA) was used as the optimization approach in the proposed methodology. …”
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A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm by Erol Eğrioğlu

“…The new method determines elements of fuzzy relation matrix based on genetic algorithms. The proposed method uses first-order fuzzy time series forecasting model, and it is applied to the several data sets. …”
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