A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity by Wenda Yang, Minggong Wu, Xiangxi Wen, Kexin Bi

“…Aiming at the resource optimization problem in the cooperative detection task, the objective function is constructed based on the channel capacity, and the artificial bee colony (ABC) algorithm is improved to realize the joint optimization of the UAV swarm trajectory and radiation power. …”
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Optimizing cohousing: The effect of community size on common space utilization and organizational sustainability by Milošević-Pantović Aleksandra

“…The research provides new insights that can contribute to the future design and organization of cohousing communities, aiming to preserve the core values of community and cooperation, while optimizing common spaces and improving the quality of life for residents.…”
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Modified LSTM based skin lesion segmentation and classification using optimization concept by S. Gomathi, N. Arunachalam

“…The final classification phase utilized MLSTM with hidden neurons optimized using STBO, aiming to maximize accuracy and precision. …”
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Optimal use of BTK inhibitors in Waldenström’s macroglobulinemia: combination or single drug approach? by Eirini Solia, Efstathios Kastritis

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Optimal Design of LLC Resonant Converter Circuit for Metro Vehicle Auxiliary Converter by GENG Zhidong, LIU Qing, RAO Peinan, ZHAO Qingliang, ZHANG Xiaoyong, ZHANG Qing

“…It presented an optimal design method of LLC resonant converter circuit for metro vehicle auxiliary converter. …”
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Travel time to emergency care not by geographic time, but by optimal time: A nationwide cross-sectional study for establishing optimal hospital access time to emergency medical car... by Won Mo Jang, Juyeon Lee, Sang Jun Eun, Jun Yim, Yoon Kim, Mi Young Kwak

“…However, few studies have evaluated the evidence of travel time benchmarks in view of the association between travel time and outcome. Thus, this study aimed to establish the optimal hospital access time (OHAT) for emergency care in South Korea. …”
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Design of Urban Rail Transit Operation Energy Saving Optimal Control Method by ZHANG Hongguang

“…So, maximized reduction of the vehicle traction energy consumption has become a growing concerned problem. Aiming at the vehicle operation control of complex line conditions, an optimal algorithm based on recursive thinking was designed, which could obtain optimal operation control scheme under specified time and line condition and effectively reduce the traction energy consumption. …”
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A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in China by Xiaocheng Li, Zhaoli Liu, Fangzhen Ge

“…Finally, a dynamic material delivery optimization model was established for multiple epidemic prefectures, aiming to speed up vaccine production and storage in each delivery site.…”
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Multi-point path planning based on the algorithm of colony-particle swarm optimization by Lijue LIU, Shuning LUO, Yan GAO, Meifei CHEN

“…The problem of multi-point path planning is a NP-hard problem,which is equivalent to finding the shortest path of a starting point and some specific node.Aiming at the problem of multi-point path planning,a retrospective ant colony-particle swarm optimization algorithm was proposed.This algorithm used Floyd-Warshall to transform the graph and combined ant colony algorithm and particle swarm algorithm to find the shortest path.The experimental results show that this algorithm can find the precise solution under small data,at the same time,under a large amount of data,can be better than the maximum minimum ant colony algorithm and genetic algorithm.…”
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Multi-objective production scheduling optimization strategy based on fuzzy mathematics theory. by Heshuai Shen

“…Multi-objective production scheduling faces the problems of inter-objective conflicts, many uncertainty factors and the difficulty of traditional optimization algorithms to deal with complexity and ambiguity, and there is an urgent need to introduce the theory of fuzzy mathematics in order to improve the scheduling efficiency and optimization effect. …”
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Multi-class fault diagnosis of BF based on global optimization LS-SVM by ZHANG Hai-gang, ZHANG Sen, YIN Yi-xin

“…Aiming at the requirement of high speed and precision in blast furnace fault diagnosis systems, a new strategy based on global optimization least-squares support vector machines (LS-SVM) was proposed to solve this problem. …”
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Application of optimized VMD in fault diagnosis of motor bearings of high-speed train by WANG Tao, SHI Yongjin, LI Jiwei, WANG Jinping

“…Aiming at the difficulty in extracting early faults of high-speed train motor bearings under the background of strong noise, an optimized VMD algorithm was proposed. …”
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Performance optimization of physical layer security in STAR-RIS aided NOMA system by LI Meiling, WANG Yumin, WANG Sijing, ZHANG Haijun

“…To address this issue, a mixed algorithm based on penalty dual decomposition (PDD) and block coordinate descent (BCD) was proposed for optimizing the beamforming vectors at the base station and the phase-shift coefficients of the STAR-RIS jointly, aiming to maximize the minimum secure transmission rate of the system. …”
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Optimization Design and Grasping Stability Analysis of Under-actuated Multi-finger Manipulator by Xiangpeng Lei, Shufeng Tang, Wei Liang, Zirui Guo

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Enhanced Wavelet-Based Medical Image Denoising with Bayesian-Optimized Bilateral Filtering by Mehdi Taassori

“…The bilateral filter’s effectiveness heavily depends on its parameters, which must be carefully optimized. To achieve this, we employ Bayesian optimization, a powerful technique that efficiently identifies the optimal filter parameters, ensuring the best balance between noise reduction and detail preservation. …”
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Deployment scheme of WSN relay nodes based on artificial bee colony optimization by Kainan LIU, Xu HAN

“…In wireless sensor network(WSN),the relay node deployment performance is one of the main factors to affect network life.Aiming at the WSN with 3-demension high density,there is no existing relay node deployment schemes enhancing the network life efficiently with the constraints of hardware cost and network connectivity.Hence,a novel deployment scheme called artificial bee colony(ABC)-based relay node deployment scheme(ABC-RNDS)was proposed based on network-grid deployment method.In ABC-RNDS,double-layer topology was adopted to build WSN,which used minimum spanning tree to construct the backbone nodes of WSN,and applied ABC to extend the network lifetime by optimizing network parameters and constraining the number of relay nodes.The simulation results show that,compared to the traditional deployment scheme,ABC-RNDS can improve network lifetime significantly under constrains of cost and connectivity.…”
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A Comparative Study of EAG and PBIL on Large-Scale Global Optimization Problems by Imtiaz Hussain Khan

“…Estimation of Distribution Algorithms (EDAs) use global statistical information effectively to sample offspring disregarding the location information of the locally optimal solutions found so far. Evolutionary Algorithm with Guided Mutation (EAG) combines global statistical information and location information to sample offspring, aiming that this hybridization improves the search and optimization process. …”
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Analysis and Optimization of Machining Process of Thin-wall Gear Ring of Planetary Reducer by Bin Liu, Lilin Wei, Haodong Yang, Changfeng Yan, Fuqiang Ren, Wei Luo

“…A solution is developed， the process route of thin-walled ring gear processing and heat treatment is optimized. By using Deform heat treatment simulation software， the optimized heat treatment route is simulated， and the feasibility of the optimized scheme is verified. …”
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Multi-objective Reliability Optimization of NGW Type Reducer of the Road-rail Vehicle by Wen Junhu, Zheng Wei, Hao Shuai

“…Aiming at the problem of multi-objective reliability optimization for the reducer of road-rail vehicle,firstly,it must be ensured that the electric wheel planetary gear reducer is in good working order and loading conditions meet the requirements of transmission.By applying the reliability theory and optimization design technology,the reducer weight reduction,materials saving,low cost can be realized safety and reliability is improved.The MATLAB optimization toolbox is used to solve the problem of the optimization of reducer.Taking the volume and contact ratio as multi-objective optimization function,then the multi-objective optimization problem is transformed into single-objective problem to solve by the linear weighted method.The mathematical model is established by using the safety factor method and other constraints.By using Fmincon function,the optimizing calculation and analysis are carried out,the optimal solution is got,which makes the optimization design parameters more reasonable than the original design parameters.Consequently,the results show that the working performance of the electric wheel of the road-rail vehicle is improved.…”
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Optimizing PID Controller Design for Rotor Systems Suspended by Active Magnetic Bearings by Ibrahim Abubakar, Atte Putkonen, Marek Rehtla, Tuomo Lindh, Stijn Derammelaere, Niko Nevaranta

“…This paper concentrates on optimizing PID-based controllers for AMB-suspended rotor systems, aiming to enable the analysis of outcomes within a standardized framework. …”
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