Machine-Vision-Based Enhanced Deep Genetic Algorithm for Robot Action Analysis by Guifeng Wang, Lu-ming Zhang, Yichuan Sheng

“…Experimental inference have shown that the BAS-GA algorithm rule achieves the optimal conclusion similar to the pseudo-annealing algorithmic program plant. Meanwhile, the genetic algorithm rule is modified ant settlement algorithm program. …”
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Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm by Vedant Singh, Somesh K. Sharma, S. Vaibhav

“…The purpose of this paper is to present a simplified method to optimize the aircraft MTOW using a genetic algorithm approach. For the optimization of MTOW of transport aircraft, a MATLAB program consisting of genetic algorithm techniques with appropriate genetic algorithm parameters setting was developed. …”
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An Efficient Fitness Function in Genetic Algorithm Classifier for Landuse Recognition on Satellite Images by Ming-Der Yang, Yeh-Fen Yang, Tung-Ching Su, Kai-Siang Huang

“…Genetic algorithm (GA) is designed to search the optimal solution via weeding out the worse gene strings based on a fitness function. …”
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Fuzzy Logic Controller Based on Genetic Algorithm for Electric Drive of Crane Trolley by S. E. Alavi, I. N. Petrenko

“…The paper describes a methodology based on the genetic algorithm that permits to automate the process for obtaining optimum rule bases while applying a controller based on a fuzzy logic. …”
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A crossover operator for objective functions defined over graph neighborhoods with interdependent and related variables by Jaume Jordan, Javier Palanca, Victor Sanchez-Anguix, Vicente Julian

Subjects: “…Genetic algorithms…”
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Genetic Algorithm and Graph Theory Based Matrix Factorization Method for Online Friend Recommendation by Qu Li, Min Yao, Jianhua Yang, Ning Xu

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Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm by Yang Ou, Zheng Jiang Liu, Hamid Reza Karimi, Ying Tian

“…Secondly, we execute the immune genetic algorithm with the coding scheme for analyzing BRM. …”
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Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine by Xiaochen Zhang, Dongxiang Jiang

“…To predict the remaining life of ball screw, a screw remaining life prediction method based on quantum genetic algorithm (QGA) and support vector machine (SVM) is proposed. …”
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Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm by He Tian, Guoqiang Wang, Kangkang Sun, Zeren Chen, Chuliang Yan, Da Cui

“…To solve this problem, an improved genetic algorithm (IGA) combined with the global optimization characteristics of genetic algorithm (GA) and the local optimal solution of simulated annealing algorithm (SA) is proposed in this paper, which adopts SA in the process of selecting subpopulations. …”
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Optimizing multiprocessor performance in real-time systems using an innovative genetic algorithm approach by Heba E. Hassan, Khaled Hosny Ibrahiem, Ahmed H. Madian

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Rainbow Connectivity Using a Rank Genetic Algorithm: Moore Cages with Girth Six by J. Cervantes-Ojeda, M. Gómez-Fuentes, D. González-Moreno, M. Olsen

“…In this work, we apply a Rank Genetic Algorithm to search for rainbow t-colorings of the family of Moore cages with girth six (t;6)-cages. …”
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Design and Optimization of Iron Cow Stem with Flaps by Finite Element Method and Genetic Algorithm by Khaled Kamal Oude, Ali Adelkhani

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Solving Singular Two-Point Boundary Value Problems Using Continuous Genetic Algorithm by Omar Abu Arqub, Zaer Abo-Hammour, Shaher Momani, Nabil Shawagfeh

“…In this paper, the continuous genetic algorithm is applied for the solution of singular two-point boundary value problems, where smooth solution curves are used throughout the evolution of the algorithm to obtain the required nodal values. …”
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Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function Construction by Saeed Mesgari, Mehrdad Bazazzadeh, Alireza Mostofizadeh

“…This study deals with the application of optimization in Finocyl grain design with ballistic objective functions using a genetic algorithm. The classical sampling method is used for space filling; a level-set method is used for simulating the evaluation of a burning surface of the propellant grain. …”
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A Fuzzy Genetic Algorithm Based on Binary Encoding for Solving Multidimensional Knapsack Problems by M. Jalali Varnamkhasti, L. S. Lee

“…The fundamental problem in genetic algorithms is premature convergence, and it is strongly related to the loss of genetic diversity of the population. …”
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Resource Optimization Technology Using Genetic Algorithm in UAV-Assisted Edge Computing Environment by Huijuan Sun, Hongqi Xi

“…As fixed edge computing systems can hardly meet the demand of mobile users for massive data processing, a computational resource allocation strategy using the genetic algorithm in UAV-assisted edge computing environment is proposed. …”
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Optimization of Zoom Lens with Discrete State of Liquid Lens Elements by Using Genetic Algorithm by Cheng-Mu Tsai

“…This paper is to employ liquid lens elements to design a lens with zoom function by using the genetic algorithm (GA) optimization. The liquid lens elements used in the proposal can apply voltage adjustment to generate the electrical field that induces the liquid with electric conductivity to vary the surface curvature between two different kinds of liquids. …”
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Path Planning for a Space-Based Manipulator System Based on Quantum Genetic Algorithm by Zhengcang Chen, Weijia Zhou

“…We then adopt a quantum genetic algorithm (QGA) to solve this objective optimization problem to attain the optimized trajectories of the joints and then execute nonholonomic path planning. …”
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A Local Genetic Algorithm for the Identification of Condition-Specific MicroRNA-Gene Modules by Wenbo Mu, Damian Roqueiro, Yang Dai

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A Rescheduling Approach for Freight Railway considering Equity and Efficiency by an Integrated Genetic Algorithm by Zhuotong Bai, Hui Wang, Lin Yang, Jiajie Li, Huapu Lu

“…An integrated two-dimension genetic algorithm (ITGA) approach is developed to reobtain an optimized timetable of sufficient quality while meeting the time requirements for real-time rescheduling. …”
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