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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DYNAMIC ANALYSIS AND OPTIMIZATION OF IMPACT MECHANISM FOR IMPACTING AND BREAKING ROCK ROADEADER by LI XiaoHuo, QIAN YaSen, JIAO Li, LI Yan, SHI ShangWei, WENG ZhengYang

“…In order to improve the impact mechanism of the impacting and breaking rock roadheader dynamic characteristics under the cycle impact load,the first six natural frequency and mode shape as well as the displacement-frequency curves were obtained by using stress wave synthesis theory and finite element method in the paper,the modal and harmonic response of the mechanism were analyzed,the main deformation portion and main vibration direction and three axial weakest points of the mechanism were confirmed,structure size optimization of the rocker arm were adopted with multiple objective genetic algorithm,The maximum displacement response of the mechanism was reduced,and the dynamic characteristics of the mechanism were improved,which provides a method and basis for researching and improving the dynamic performance of the mechanism.…”
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Research on Gear Modification Optimization Design of Dual Power Drive Gearbox by Zixuan Ge, Zhuzheng Xu

“…Based on this，through genetic algorithm， the gear comprehensive modification optimization design combining tooth profile modification and helical modification is carried out， and the gear pair before and after modification is compared and analyzed. …”
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Optimal coalition structure generation strategy in multi-task concurrent edge computing environment by Shuxu ZHAO, Ping WEI, Xiaolong WANG

“…A discrete recent past-position updating strategy based m-ary discrete particle swarm optimization (MDPSO-DRPPUS) algorithm was proposed for the problem of large search space and low efficiency when solving the optimal coalition structure.First, the coalition structure with index-based was coded.Then, the multi-objective optimization problem was transformed into an eigenvalue function of the coalition structure.Finally, the optimal coalition structure was searched by using the MDPSO-DRPPUS algorithm.Experiments show that compared with the m-ary discrete particle swarm optimization (MDPSO) algorithm and genetic algorithm (GA), the proposed algorithm dramatically reduces the average running time, and improves the efficiency and equilibrium of the coalition structure and task completion efficiency of edge nodes.…”
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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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Evolutionary Game Algorithm for Image Segmentation by Jin Zhong, Hao Wu

“…Experimental results show that the method proposed in this paper makes the detail of segmentation image syllabify and has better antijamming capability; the improved genetic algorithm which used searching optimal solution has faster convergence speed and better global search capability.…”
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AP Deployment Research Based on Physical Distance and Channel Isolation by Dangui Yan, Chengchang Zhang, Honghua Liao, Lisheng Yang, Ping Li, Guogang Yang

“…First, it detects the position information of deployed APs and then calculates the interference penalty factor combined with physical distance and channel isolation, and finally gets the optimal location and channel of the new AP through the genetic algorithm. Comparing with NOOCA algorithm and NOFA-2 algorithm, the results of numerical simulation show that the new algorithm can minimize the mutual interference between basic service sets (BSS), can ensure the maximum of throughput based on quality of service (QoS) in BSS, and can effectively improve the system performance.…”
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Parametric study and optimization of thermal performance and pressure drop in heat sinks with double-layer porous microchannels by Fahimeh Aliyari, Keivan Fallah, Hossein Zolfaghary Azizi, Farhad Hosseinnejad

“…In the continuation of the research, the extracted parameters were used as inputs for optimization with a multi-objective genetic algorithm aimed at enhancing thermal performance and reducing pressure drop. …”
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Research on Parking Service Optimization Based on Permit Reservation and Allocation by Duo Xu, Huijun Sun

“…It first analyzes the characteristics and costs of “arrival priority” and “reservation priority” modes, and then, it proposes the parking permit reservation and allocation mode based on “service order optimization” and designs an “ant colony-genetic” algorithm to solve the optimal service order. The numerical example shows that the measures of quantity control and matching optimization are effective in parking management. …”
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Identifying Initial Condition in Degenerate Parabolic Equation with Singular Potential by K. Atifi, Y. Balouki, El-H. Essoufi, B. Khouiti

“…To solve it, we prove the existence of at least one solution of problem and we propose two approaches: the first is based on a Tikhonov regularization, while the second approach is based on a hybrid genetic algorithm (married genetic with descent method type gradient). …”
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Longitudinal structure optimization for a high density electromagnetic calorimeter by Borysov Oleksandr, Huang Shan, Zembaczyński Kamil, Żarnecki Aleksander Filip

“…For multi-objective optimization, a procedure based on the genetic algorithm is complemented with non dominated sorting algorithm. …”
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Optimization of Sound Transmission Loss through a Thin Functionally Graded Material Cylindrical Shell by Ali Nouri, Sohrab Astaraki

“…The maximizing of sound transmission loss (TL) across a functionally graded material (FGM) cylindrical shell has been conducted using a genetic algorithm (GA). To prevent the softening effect from occurring due to optimization, the objective function is modified based on the first resonant frequency. …”
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Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral Model by Huiguo Chen, Ting Zhong, Guocui Liu, Junru Ren

“…Based on the Kanai-Tajimi power spectrum filtering method proposed by Du Xiuli et al., a genetic algorithm and a quadratic optimization identification technique are employed to improve the bimodal time-varying modified Kanai-Tajimi power spectral model and the parameter identification method proposed by Vlachos et al. …”
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Transmitter selection and receiver placement for target parameter estimation in cooperative radar‐communications system by Liming Wang, Qian He, Huiyong Li

“…To efficiently solve this mix‐integer non‐linear programming problem approximately, a genetic algorithm (GA)‐based method is proposed. It is shown that the result obtained by the proposed algorithm is close enough to the optimum solution of the JTSRP problem. …”
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An Evolutionary Video Assignment Optimization Technique for VOD System in Heterogeneous Environment by King-Man Ho, Wing-Fai Poon, Kwok-Tung Lo

“…In order to find a near-optimal solution for such a complex video assignment problem, an evolutionary approach based on genetic algorithm (GA) is proposed. From the results, it is shown that the system performance can be significantly enhanced by efficiently coupling the various techniques.…”
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Optimum Design of Load Capacity of Cycloidal Pin Wheel by Leilei Xu, Jianxin Su

“…Matlab is used to call the genetic algorithm in its optimization toolbox for solution. …”
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The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks by Nyoman Gunantara, I Dewa Nyoman Nurweda Putra

“…This research analyzes the metaheuristic methods, that is, ant colony optimization (ACO), genetic algorithm (GA), and particle swarm optimization (PSO), in the selection of path pairs on multicriteria ad hoc network. …”
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Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm by Guojun Chen, Xiangdong Qin, Ningsheng Fang, Wenbo Xu

“…The experimental results show that the quality of the WSN coverage path solution optimized by the BBO algorithm in the two scenarios is better than that of the particle swarm algorithm and genetic algorithm.…”
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OPTIMIZATION DESIGN OF THE INDEPENDENT WHEEL AXLE-AXLE BASED ON OSF AND RSM by YE Shuang, LIU Qiang, HUANG KunLan, FAN LiZhong, WANG Jie

“…On this basis,Pareto optimal solution of the objective function is obtained based on the filter optimization algorithm and the multi-objective genetic algorithm.Finally,an example is given to demonstrate the effectiveness of the method.…”
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BLIND SOURCE SEPARATION OF MECHANICAL FAULT BASED ON BAT ALGORITHM by SUN YiJie, LI FuSheng, LIANG MingLiang, DONG LiSheng

“…Simulation results show that the BA-BSS method is significantly superior to the traditional mechanical failure blind source separation based on Genetic Algorithm（ GA-BSS） in separation performance,algorithm convergence and operation speed. …”
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