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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Research on task offloading strategy of Internet of vehicles based on improved hybrid genetic algorithm by Yuliang CONG, Wenxi SUN, Ke XUE, Zhihong QIAN, Mianshu CHEN

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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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Research on control strategy of bidirectional DC-DC converter based on improved genetic algorithm by LI Li, CHEN Can, LI Can, GAO Feifan, CHEN Zhuaixia, LIU Yang, ZHOU Hongxi

Subjects: “…genetic algorithm…”
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Adopting an Improved Genetic Algorithm for Multi-Objective Service Composition Optimization in Smart Agriculture by Shalini Sharma, Bhupendra Kumar Pathak, Rajiv Kumar

“…This paper presents an improved version of the multi-objective genetic algorithm (iMOGA) for optimizing the time and cost associated with the services involved in the production of apple orchards to maximize the farmer's financial goals while reducing their potential time. …”
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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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Selection and Penalty Strategies for Genetic Algorithms Designed to Solve Spatial Forest Planning Problems by Matthew P. Thompson, Jeff D. Hamann, John Sessions

“…Genetic algorithms (GAs) have demonstrated success in solving spatial forest planning problems. …”
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A High-Performance Genetic Algorithm: Using Traveling Salesman Problem as a Case by Chun-Wei Tsai, Shih-Pang Tseng, Ming-Chao Chiang, Chu-Sing Yang, Tzung-Pei Hong

“…This paper presents a simple but efficient algorithm for reducing the computation time of genetic algorithm (GA) and its variants. The proposed algorithm is motivated by the observation that genes common to all the individuals of a GA have a high probability of surviving the evolution and ending up being part of the final solution; as such, they can be saved away to eliminate the redundant computations at the later generations of a GA. …”
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Dynamic spectrum allocation for cognitive radio sensor networks based on improved genetic algorithm by Chang CAI, Yafang WANG, Bingmei MIAO, Hui JIANG

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Optimization Design of the Bucket Lifting Mechanism of Meal and Kitchen Truck based on Genetic Algorithm by Wang Zhongchang

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Structural Optimization of the Aircraft NACA Inlet Based on BP Neural Networks and Genetic Algorithms by Zhimao Li, Changdong Chen, Houju Pei, Benben Kong

“…A new method of integrating the BP neural networks and genetic algorithm is used for structure optimization and is proven effective. …”
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Optimized coverage algorithm of wireless video sensor network based on quantum genetic algorithm by Fu-you FAN, Guo-wu YANG, Qian-qi LE, Feng-mao LV, Chao ZHAO

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Parallel association rules incremental mining algorithm based on information entropy and genetic algorithm by Yimin MAO, Qianhu DENG, Zhigang CHEN

“…Aiming at the problems that in the big data environment, the Can-tree based incremental association rule algorithm had problems such as too much space occupation of the tree structure, inability to dynamically set the support threshold, and too much time consumption during the data transfer process between the Map and Reduce stages, the Map Reduce-based parallel association rules incremental mining algorithm using information entropy and genetic algorithm (MR-PARIMIEG)was proposed.Firstly, a similar items merging based on information entropy (SIM-IE) was designed to merge similar data items, and a Can tree based on the merged data set was constructed, thereby reducing the space occupation of the tree structure.Secondly, the dynamic support threshold obtaining using genetic algorithm (DST-GA) was proposed to obtain the relatively optimal dynamic support threshold in the big data environment, and frequent itemset mining was performed according to this threshold to avoid the unnecessary time consumption caused by mining redundant frequent patterns.Finally, in the process of MapReduce parallel operation, the parallel LZO data compression algorithm was used to compress the output data of the Map stage, thereby reducing the size of the transmitted data, and finally improving the running speed of the algorithm.Experimental simulation results show that MR-PARIMIEG has better performance when mining frequent item sets in the big data environment, and it is suitable for parallel processing of larger data sets.…”
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Optimizing the Mixing Proportion with Neural Networks Based on Genetic Algorithms for Recycled Aggregate Concrete by Sangyong Kim, Hee-Bok Choi, Yoonseok Shin, Gwang-Hee Kim, Deok-Seok Seo

“…This research aims to optimize the mixing proportion of recycled aggregate concrete (RAC) using neural networks (NNs) based on genetic algorithms (GAs) for increasing the use of recycled aggregate (RA). …”
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An Improved Genetic Algorithm Based Robust Approach for Stochastic Dynamic Facility Layout Problem by Yunfang Peng, Tian Zeng, Lingzhi Fan, Yajuan Han, Beixin Xia

“…As a solution procedure for the proposed model, an improved adaptive genetic algorithm with population initialization strategy is developed to reduce the search space and improve the solving efficiency. …”
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Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic Algorithms by Sabyasachi Chand, Anjan Dutta

“…Automatic mesh generation and adaptive finite element analysis modules are integrated with Genetic algorithm code to carry out the shape optimization. …”
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Energy-Efficient Clustering and Localization Technique Using Genetic Algorithm in Wireless Sensor Networks by Junfeng Chen, Samson Hansen Sackey, Joseph Henry Anajemba, Xuewu Zhang, Yurun He

“…This paper puts forward energy-efficient clustering and localization centered on genetic algorithm (ECGAL), in which the residual energy, distance estimation, and coverage connection are developed to form the fitness function. …”
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