Multi-dimensional Taylor network optimal control strategy of MMC-RPC by SONG Pinggang, WEI Wenlong, CHEN Zijun, CHEN Zihao

“…Compared with traditional double closed-loop PI controller, multi-dimensional Taylor network (MTN) controller has advantages of strong anti-disturbance ability, better robustness and lower harmonic distortion rate. Aiming at the parameter setting problem, the integral of the error square between the reference value and the actual value of the <italic>dq</italic> axis current was used as the output performance index, and the particle swarm optimization algorithm was used to optimize the parameters in MTN. …”
Get full text

Optimal Tradable Credits Scheme and Congestion Pricing with the Efficiency Analysis to Congestion by Ge Gao, Jun Hu

“…Their purpose is to analyze the demand distribution of different modes. A social optimization model is built aiming at maximizing the social welfare. …”
Get full text

Optimization Research on Resonant Inductor in High Power LLC Resonant Converter by SUN Chao, WANG Chunfang, ZHENG Jianfeng, WANG Shiwei, LIU Longguo

“…Through many simulations, the optimal curves of three-air-gap location were given, which had important significance to the optimization design of resonant inductor.…”
Get full text

Distributed data trading algorithm based on multi-objective utility optimization by Xiaohong HUANG, Yong ZHANG, Desheng SHAN, Yekui QIAN, Lu HAN, Dandan LI, Qun CONG

“…The traditional centralized data trading models are not well applicable to the current intelligent era where everything is interconnected and real-time data is generated, and in order to maximize the use of collected data, it is essential to design an effective data trading framework.Therefore, a distributed data trading framework based on consortium blockchain was proposed, which realized P2P data trading without relying on a third party.Aiming at the problem that existing data trading models only consider the factors of the data itself and ignore the factors related to user tasks, a bi-level multi-objective optimization model was constructed based on multi-dimensional factors, such as data quality, data attributes, attribute relevance and consumer competition, to optimize the utilities of data provider (DP) and data consumer (DC).To solve the above model, an improved multi-objective genetic algorithm-collaborative NSGAII was proposed, calculated by the cooperation of DP, DC and data aggregator (AG).The simulation results show that the collaborative NSGAII achieves better performance in terms of the utilities of DP and DC, thus realizing more effective data trading.…”
Get full text

Analysis and optimization of the gear rattle in the parallel mode for hybrid electric vehicles by GUO Lin, LIU Xuewen, LIU Xinhao, LIN Weixiong, ZHENG Wenzhao

“…ObjectiveAiming at the abnormal noise issue in the parallel mode of a hybrid electric vehicle, its generation mechanism was investigated and optimization solutions were proposed.MethodsFirstly, vibration and noise tests were carried out on the prototype vehicle to identify the type of abnormal noise. …”
Get full text

Research on Multi-Objective Reactive Power Optimization of Distribution Grid with Photovoltaics by Lie Xia, Xiaojin Lin, Rongrong Zhou, Kanjian Zhang

“…Aiming at the two objectives of the network loss and voltage fluctuation rate, the improved multi-objective particle swarm optimization algorithm is used to solve the model under the condition that the output of each device does not exceed the constraint and the optimal solution that can reduce the distribution grid loss and improve the voltage stability of the distribution grid is obtained. …”
Get full text

Optimizing Horizontal Collaboration in Logistics with Neutrosophic Z-Number Decision Models by Phi-Hung Nguyen, Lan-Anh Thi Nguyen, The-Vu Pham, Hong-Quan Le, Thu-Hoai Thi Nguyen, Tra-Giang Vu, Huong-Giang Hoang Le

“…Environmental factors emphasize the critical role of green practices and resource optimization. This research provides actionable insights for logistics companies and policymakers aiming to promote effective HC, thereby advancing logistics efficiency and sustainability in Vietnam and other developing economies. …”
Get full text

Role of artificial intelligence in human resource management for optimizing employee productivity by Veshne Nupur, Jamnani Jyoti

Get full text

Application of Taguchi Method in Structure Optimization of Permanent Magnet Synchronous Motor by WEN Jia-bin, YU Lan

“…Aiming at the issue of the traditional local optimization method of permanent magnet motor can not achieve multiobjective optimization, an optimization method based on Taguchi method is proposed. …”
Get full text

Research on multi-condition optimization of centrifugal compressor impeller meridian profile. by Ning Yu, Xiaohan Yu, Zhi Cai, Xinle Yang, Liyong Tian, Song Li

“…The NSGA-III optimization algorithm is employed for multi-condition optimization, aiming to achieve comprehensive efficiency improvements under multiple operating speeds. …”
Get full text

Ketogenic diet - A gateway to optimize aerobic and anaerobic athletic performance by Dilpreet Kaur, Abdullah Alzahrani, Abdullah Alhusayni, Mohammad Ahsan, Shajiya Sarwar Moosa

“… This narrative review aims to highlight the effect of the Ketogenic diet on aerobic and anaerobic athletic performance. …”
Get full text

Robust Optimal Configuration Planning of Integrated Energy System for Return on Investment by Tao LIANG, Xiaodong YIN, Yaxiang LIU

“…Aiming at the uncertainty influences of wind and photovoltaic power output and energy-using load on both cost and revenue, a robust optimal configuration method for return on investment is presented. …”
Get full text

Modeling and Optimization of Cable Production Scheduling by Incorporating an Ant Colony Algorithm by Changbiao Zhu, Chongxin Wang, Zhonghua Ni, Xiaojun Liu, Abbas Raza

“…This work proposed a cable production scheduling optimization method based on an ant colony algorithm, aiming at solving the problems of the inefficiency and underutilization of resources in the process of traditional cable scheduling. …”
Get full text

Optimization Strategy of Building Energy System Based on Deep Reinforcement Learning by Wenzhe SHI, Bingjie LI, Peipei YOU, Ling ZHANG

“…Aiming at the load uncertainty on the demand side of the building energy system and the randomness of renewable energy on the supply side, a building energy system management optimization strategy is proposed based on deep reinforcement learning. …”
Get full text

System‐wide optimization of an orthogonal translation system with enhanced biological tolerance by Kyle Mohler, Jack M Moen, Svetlana Rogulina, Jesse Rinehart

Get full text

A Mobile Wireless Sensor Coverage Optimization Method for Bridge Monitoring by Cong Mu, Jiguang Yang, Jiuyuan Huo

“…Aiming at the problem of resource allocation optimization of heterogeneous mobile wireless sensor (HMWS) networks in bridge structural health monitoring, this study proposes an enhanced coverage strategy for heterogeneous sensors based on an improved Hiking Optimization Algorithm (HOA). …”
Get full text

Optimizing machine learning for enhanced automated ECG analysis in cardiovascular healthcare by Keyi Tang, Shuyuan Ma, Xiaohui Sun, Dongfang Guo

“…The proposed approach demonstrates promising results in accurately categorizing heartbeats, offering a potential solution to the limitations of current classification methods. By optimizing classification models with metaheuristic algorithms, such as JADE, the study achieves significant performance improvements, highlighting the effectiveness of integrating advanced optimization techniques into ECG analysis processes. …”
Get full text

Optimizing the strategy of new media content distribution using fuzzy logic by Jianhua Qi, Jing Lin

“…To solve this problem, this study proposes a new media content distribution strategy based on fuzzy logic optimization, aiming to improve the efficiency and user experience of the recommendation system. …”
Get full text

Ant Colony Optimization Using Common Social Information and Self-Memory by Yoshiki Tamura, Tomoko Sakiyama, Ikuo Arizono

“…Ant colony optimization (ACO), which is one of the metaheuristics imitating real ant foraging behavior, is an effective method to find a solution for the traveling salesman problem (TSP). …”
Get full text

Integrated Optimization Method of IPPS under TOU and Tiered Electricity Price by Erbao Xu, Yan Li, Mingshun Yang, Zhenyu Wang, Yirou Liu, Jiali Han

“…To establish the multiobjective optimization mathematical model of the problem, the load balancing problem of the equipment is considered, the minimization of the power consumption and the maximum load of the equipment are taken as the optimization objectives. …”
Get full text