Dynamic adaptive discrete particle swarm optimization algorithm based method on low-power mapping in network-on-chip by Qin-rang LIU, Qi-hua DAI, Jian-liang SHEN, Bo ZHAO

“…Experimental results show that comparing with the random mapping, genetic algorithm (GA), PSOA and dynamic ant colony algorithm (DACA), DADPSOA can save the execution time, reduce the communication power consumption of mapping results. …”
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Vibration Analysis and Optimization of a Rectangular Plate with Flanging Hyperellipse Cutout by Wensheng Wang, Sier Deng, Song Zhang, Da Geng

“…Then, maximization of frequency or the difference of two consecutive frequencies of the rectangular plate is carried out using Multi-island Genetic Algorithm, aiming to achieve the best dynamic characteristics. …”
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CRASHWORTHINESS DESIGN AND OPTIMIZATION FOR COLLISION POST OF TRAIN by SHI YueQing, QIN RuiXian, CHEN BingZhi

“…Based on the optimal Latin hypercube experimental design method, a polynomial response surface surrogate model of the specific energy absorption and the peak crush force with respect to the wall thickness of the novel multi-cell collision post was established, the multi-objective optimization problem was conducted using the Non-dominated Sorting Genetic Algorithm-Ⅱ and the Pareto front was obtained. …”
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A Fault Diagnosis Method for Planetary Gearboxes Based on IFMD by Fengfeng Bie, Xueping Ding, Qianqian Li, Yuting Zhang, Xinyue Huang

“…Initially, the critical parameters (modal number n and filter length L) of FMD are optimized using an improved genetic algorithm (IGA), and the refined FMD is employed to decompose the vibration signals from the planetary gearbox. …”
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MULTI-OBJECTIVE OPTIMIZATION OF SHELL KEY PARAMETERS OF ROTATING BUTT SKIRT AND PROTOTYPE DEVELOPMENT by GONG HaiXia, LIU Zhe, WANG LiQuan, HOU ShuPing, WANG ChenYe

“…The rotating butt skirt is works in the deep water area of the ocean,In order to solve the safety problem of rotating butt skirt working in deep water,In this paper,fixed skirt,direction skirt,angle skirt was took as the research object.Multi-Objective Genetic Algorithm is used to optimize the key parameters of fixed skirt,direction skirt and angle skirt,and we get the optimal parameters of the three. …”
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Elliptical Crack Identification in a Nonrotating Shaft by B. Muñoz-Abella, L. Rubio, P. Rubio, L. Montero

“…Second, once the direct problem is known, the inverse problem is approached. Genetic Algorithm technique has been used to estimate the crack parameters assuming known the natural frequencies of the cracked shaft.…”
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Evolutionary Algorithm Geometry Optimization of Optical Antennas by Ramón Díaz de León-Zapata, Gabriel González, Efrén Flores-García, Ángel Gabriel Rodríguez, Francisco Javier González

“…This work presents the results of using a genetic algorithm (GA) for obtaining an optimized geometry (unconventional geometries) that may be used as optical regime antennas to capture electromagnetic waves. …”
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Design of the End-effector of Waste Lithium-ion Battery Handling Robots by Zhang Hongsheng, Deng Ze

“…The rod length and position parameters of six-bar mechanism are optimized by genetic algorithm-BFGS （GA-BFGS） quasi-Newton method and particle swarm optimization-BFGS (PSO-BFGS) quasi-Newton method, and the dynamics model of the six-bar mechanism is established. …”
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Optimizing the Long-Term Operating Plan of Railway Marshalling Station for Capacity Utilization Analysis by Wenliang Zhou, Xia Yang, Jin Qin, Lianbo Deng

“…Secondly, an algorithm is designed to solve this model based on genetic algorithm (GA) and simulation method. It divides the plan of whole planning horizon into many subplans, and optimizes them with GA one by one in order to obtain a satisfactory plan with less computing time. …”
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Research on the optimization method of emergency material post transportation model based on bi-level programming by Haixia ZHOU, Yurong MEI, Furu LYU, Zhixin SUN

“…Emergency logistics is a special logistics activity that protects the need of personnel,materials and funds in the event of a major emergency.In the post transportation model of emergency supplies,how to quickly and accurately deliver a large amount of rescue materials to the place of need is a huge challenge to emergency logistics.The logistics cost and the logistics time in the entire logistics process could be minimized by the bi-level planning method while meeting the demand for emergency supplies at the demand point.The bi-level programming model was constructed with the minimum logistics cost of the upper layer and the shortest logistics time of the bottom layer as the goal,and a hybrid tabu search genetic algorithm (HTSGA) was designed to solve the model,which solved the problem of emergency logistics transportation route optimization after the disaster.Finally,the experimental result comparison verified the effectiveness of the model and algorithm.…”
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Multiobjective Optimization Method for Energy-Saving Design of Green Buildings by Yuanting Yang, Fengxiang Lu, Lan Qing

“…The results show that compared to classic intelligent optimization design algorithms such as nondominated sorting genetic algorithm II (NSGA-II), the proposed method reduces discomfort time by 1.29% while only increasing energy consumption by 0.61%.…”
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Selecting the objective function during the inverse identification of the parameters of a material model of concrete by F. Hokes, J. Kala

“…The proposed article brings a study of the influence of the different formulations of the objectives functions to achieving optimum in the inverse analysis using genetic algorithm. The numerical part of the study was performed in the ANSYS computational system with use of multiPlas library of elasto-plastic material models from which the model based on formulations of Menetrey and Willam was chosen.…”
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METHOD FOR MODIFYING PROFILE OF CYCLOIDAL WHEEL CONSIDERING COMPENSATION FOR ELASTIC DEFORMATION by QIN ZhengZheng, WANG Quan, ZHAO DaXing, WANG Jun, ZENG LiLei

“…And the mathematical model of the profile modification of the cycloid with elastic deformation characteristics was established,which was solved by genetic algorithm and compared with the modification method without considering elastic deformation.The results show that compared with the modification method without considering elastic deformation,the fitting degree of the actual working tooth profile and the angle modification tooth profile is improved to 1. 52 times,and the contact force of the tooth surface is reduced to8. 27%,thus verifying the rationality and feasibility of the method.…”
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Predicting Shear Strength in FRP-Reinforced Concrete Beams Using Bat Algorithm-Based Artificial Neural Network by Mohammad Nikoo, Babak Aminnejad, Alireza Lork

“…ANN is also compared to the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm. …”
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Optimization of Parameter Matching of Hybrid Power System for HEV based on NSGA-Ⅱ Algorithm by Deng Tao, Xu Bin, Li Decai, Luo Weixing

“…Aiming at the defects of single target for traditional parameter optimization on hybrid power for hybrid electric vehicle（ HEV）,the fuel economy,emission and riding comfort are as the multi-objectives optimization object,and taking the entire dynamic performance is as constraint condition,then the Non-dominated Sorting Genetic Algorithm-Ⅱ（ NSGA-Ⅱ） multi-objectives parameter optimization algorithm is proposed. …”
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A New Method for Optimizing the Cabin Layout of Manned Submersibles by Wenzhong Wang, Shusheng Zhang, Cong Ye, Dengkai Chen, Hao Fan

“…The experimental results show that the layout of manned submersible cabin is optimized by combining the theory of deconstruction and reconstruction aesthetics and human factors engineering, and the feasibility and effectiveness of this method are verified by multiobjective genetic algorithm. Deconstruction and reconfiguration layout optimization improves the human reliability of divers. …”
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FOPID controller design for pneumatic control valves with ultra-low overshoot, rapid response and enhanced robustness by Yuxin He, Aixiang Ma, Yuehui Wang, Xinyi Tian, Sihai Zhao

“…To enhance optimization, the Hippopotamus Optimization (HO) is improved with Genetic Algorithm (GA). Simulation and experimental results demonstrate the proposed GAHO-based FOPID controller achieves a settling time of 5.25 s and an overshoot of 0.88%, significantly surpassing conventional methods. …”
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Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model by Farzad Tahriri, Siti Zawiah Md Dawal, Zahari Taha

“…Such conflicting goals arise when switching between different products. A genetic algorithm (GA) approach is used to solve this problem, in which trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data.…”
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A Novel Edge Detection Algorithm for Mobile Robot Path Planning by Rami Al-Jarrah, Mohammad Al-Jarrah, Hubert Roth

“…These maps contain the starting and destination points in addition to current positions of the robot and obstacles. Moreover, the genetic algorithm (GA) has been modified and applied to produce time-based trajectory for the optimal path. …”
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Robust Optimization of Fourth Party Logistics Network Design under Disruptions by Jia Li, Yanqiu Liu, Ying Zhang, Zhongjun Hu

“…Based on the NP-hard characteristic of the problem, the artificial fish swarm algorithm (AFSA) and the genetic algorithm (GA) are developed. The effectiveness of the algorithms is tested and compared by simulation examples. …”
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