MOTOR TOLERANCE OPTIMIZATION DESIGN BASED ON IMPROVED GENETIC ALGORITHM by ZHANG YongLiang, CHEN Xu, YAO JiaSheng, ZHANG ShuaiShuai

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Research on decision making of optimal communication system based on user by Yu-hang WU, Shao-hong YAN

“…In order to study the problem of how to choose the wireless channel connection system to meet the needs of users in the wireless communication environment,according to the number of users using the Irish call loss,the estimated number of users need to meet the channel should be provided.Followed by the number of channels to establish the rela-tion model between user requirements and system capacity,introducing comprehensive evaluation factors to evaluate FDMA,TDMA and CDMA communication system.Finally a solution was put forward to meet the optimal decision the needs of users.This scheme not only realizes the effective utilization of the channel,and the channel has certain redun-dancy,avoid the system reconstruction caused by future user growth,capital waste,provides a measure of win-win choice for different number of users of the communication system.…”
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Optimization Algorithm of Dynamic Control Strategy based on CVT Efficiency by Wang Zhihong, Wang Jianyun, Liu Shichao, Yan Hao, Du Changqing

“…A whole vehicle model is established by using GT-drive software， and the control strategies before and after optimization are simulated and compared. The result indicates that the optimized control strategy can improve the driving power and the maximum vehicle speed to different degrees under each pedal opening.…”
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A New Hybrid Algorithm for Convex Nonlinear Unconstrained Optimization by Eman T. Hamed, Huda I. Ahmed, Abbas Y. Al-Bayati

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A Modified Hybrid Conjugate Gradient Method for Unconstrained Optimization by Minglei Fang, Min Wang, Min Sun, Rong Chen

“…The nonlinear conjugate gradient algorithms are a very effective way in solving large-scale unconstrained optimization problems. Based on some famous previous conjugate gradient methods, a modified hybrid conjugate gradient method was proposed. …”
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Uncertainty-Based Design Optimization in Engineering: Model, Algorithm, and Application by Xiaojun Wang, Zhiping Qiu, Dirk Söffker

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Optimality and stability of symmetric evolutionary games with applications in genetic selection by Yuanyuan Huang, Yiping Hao, Min Wang, Wen Zhou, Zhijun Wu

“…In this paper, we review the theory for obtaining optimal and stable strategies for symmetric evolutionary games, and provide some new proofs and computational methods. …”
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Bifurcation and Stabillity Analysis of HIV Transmission Model with Optimal Control by Kumama Regassa Cheneke, Koya Purnachandra Rao, Geremew Kenassa Edessa

“…Further, the developed model is extended to the optimal control model of HIV/AIDS transmission, and the cost-effectiveness of the control strategy is analyzed. …”
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Optimal Paths on Urban Networks Using Travelling Times Prevision by Alfredo Cutolo, Carmine De Nicola, Rosanna Manzo, Luigi Rarità

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Differential privacy budget optimization based on deep learning in IoT by Dan LUO, Ruzhi XU, Zhitao GUAN

“…In order to effectively process the massive data brought by the large-scale application of the internet of things (IoT), deep learning is widely used in IoT environment.However, in the training process of deep learning, there are security threats such as reasoning attacks and model reverse attacks, which can lead to the leakage of the original data input to the model.Applying differential privacy to protect the training process parameters of the deep model is an effective way to solve this problem.A differential privacy budget optimization method was proposed based on deep learning in IoT, which adaptively allocates different budgets according to the iterative change of parameters.In order to avoid the excessive noise, a regularization term was introduced to constrain the disturbance term.Preventing the neural network from over fitting also helps to learn the salient features of the model.Experiments show that this method can effectively enhance the generalization ability of the model.As the number of iterations increases, the accuracy of the model trained after adding noise is almost the same as that obtained by training using the original data, which not only achieves privacy protection, but also guarantees the availability, which means balance the privacy and availability.…”
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Mitigation of epidemics in contact networks through optimal contact adaptation by Mina Youssef, Caterina Scoglio

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Causes and optimization of the false alarm rate of code review system by Yuanying XIAO, Yaodong YOU, Lixi XIANG

“…Code review technology has become a pivotal part in the construction of network security.Analysis of the test reports obtained by the current code auditing system shows that there are many false positives in the report.The shortcomings in the development of the code audit system were summarized,the principles of different detection algorithms were briefly described,the causes of false alarm rates were analyzed,corresponding optimization ideas were proposed,the technical principles of optimization were explained,and the application scenarios of optimization schemes were described.…”
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A Globally Optimal Robust Design Method for Complex Systems by Yue Chen, Jian Shi, Xiao-jian Yi

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Antiskid Design Method and Simulation Optimization of Rope Rail Conveyors by Zhao Huijian, Zhang Yaocheng, Pang Xinyu, Zuo Lingfei, Tian Weiming

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A Comparison of Selected Modifications of the Particle Swarm Optimization Algorithm by Michala Jakubcová, Petr Máca, Pavel Pech

“…It follows that a shuffling mechanism improves the optimization process.…”
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Methodology for Analyzing Powder-Based Fire Extinguishing and Its Optimization by Amir Shalel, David Katoshevski, Tali Bar-Kohany

“…Notably, the relation exhibits three different zones, each influenced by different governing mechanisms of combustion inhibition, providing critical insights into optimizing powder-based extinguishing systems. A minimal value of the MEC is found where there is no significant change with the MEC in terms of particle diameter, and the chemical homogeneous mechanism is dominating. …”
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Tooth Profile Optimization Design of Cup Flexspline Harmonic Drive by Sun Yuqin

“…For the purpose of improving the engagement qualities of harmonic drive（ HD）,taking the HD with the drive ratio 100 as example,the basic conjugated tooth profile for involute tooth profile is calculated based on the modified kinematics method of HD and the elastic deformation of flexspline,the tooth profile optimization design model is established and calculated by using the iteration method of MATLAB,in order to verify the correctness of the aforementioned model,the engagement state of the tooth profile after optimized is studied.The results show that effective conjugate exist domain and effective conjugate tooth profile are found,in order to avoid the interference during the engagement process,the three-dimensional tooth profile must be applied as the conjugate tooth profile.Finally,the correctness of all of the aforementioned model are verified by the characteristics,such as non-interference during the assembly and movement process,more number of teeth participated in engagement and large transmission ratio.…”
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Performance Enhancing Diets and the PRISE Protocol to Optimize Athletic Performance by Paul J. Arciero, Vincent J. Miller, Emery Ward

“…Thus, it is the purpose of this review to provide a clearly defined roadmap linking specific performance enhancing diets (PEDs) with each PRISE component to facilitate optimal nourishment and ultimately optimal athletic performance.…”
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Self-adaptive fuzzing optimization method based on distribution divergence by XU Hang, JI Jiangan, MA Zheyu, ZHANG Chao

“…To improve the performance of coverage-guided fuzzing, a method for self-adaptive optimization of fuzzing using distribution divergence and a deep reinforcement learning model was proposed. …”
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Optimal investment and reinsurance for the insurer and reinsurer with the joint exponential utility by Wuyuan Jiang, Zechao Miao, Jun Liu

“…In this paper, we consider the problem of optimal investment-reinsurance for the insurer and reinsurer under the stochastic volatility model. …”
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