The Optimization of Supply–Demand Balance Dispatching and Economic Benefit Improvement in a Multi-Energy Virtual Power Plant within the Jiangxi Power Market by Tang Xinfa, Wang Jingjing, Wang Yonghua, Wan Youwei

“…The primary objective of this method is to improve the operational efficiency of the power grid, reduce energy costs, and facilitate economical and efficient energy distribution in the power market. …”
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Study on Piping Layout Optimization for Chiller-Plant Rooms Using an Improved A* Algorithm and Building Information Modeling: A Case Study of a Shopping Mall in Qingdao by Xiaoliang Ma, Hongshe Cui, Yan Zhang, Xinyao Wang

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An Application of Quasi Newton Algorithm and Improvement of Sliding Surface for Robot Control by Chi-Ngon Nguyen, Thanh Tung Pham

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Ship’s Trajectory Planning Based on Improved Multiobjective Algorithm for Collision Avoidance by Jinxin Li, Hongbo Wang, Wei Zhao, Yuanyuan Xue

“…In this paper, the optimization of ship collision avoidance strategies is realized by both an improved multiobjective optimization algorithm NSGA-II and the ship domain under the condition of a wide sea area without any external disturbances. …”
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Design of improved JAYA algorithm for cigarette finished product logistics delivery by Jun Wen, Yewei Hu, Le Li, Zongrui Wu, Guangwei Xiao, Kai Guo, Lei Li

“…In response to these challenges, this study proposes an improved Jaya algorithm that integrates a reverse learning mechanism and a cosine similarity strategy to enhance optimization performance. …”
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Provide a method to diagnose and optimize diabetes using data mining methods and firefly algorithm by Reza Molaee Fard

“…Diabetes is one of the most common, dangerous and costly diseases in the world today, which is increasing at an alarming rate. …”
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Hub-and-spoke network design to optimize government subsidy costs for maritime transportation in Indonesia by Windra Priatna Humang, Djoko Prijo Utomo, Hasriwan Putra, Dedy Arianto, Rutma Pujiwat, Sucipto, Dwi Phalita Upahita, Nur Fitriana, Maharani Almira Salsabilla, Yustina Niken Raharina Hendra, Asep Yayat Nurhidayat, Mega Novetrishka Putri, Mohamad Ivan Aji Saputro, Amelia Santoso, Ivan Kristianto Singgih, Dina Natalia Prayogo, Indri Hapsari, Olyvia Novawanda, Stefanus Soegiharto, Jerry Agus Arlianto

“…A deterministic optimization approach was adopted, leveraging Genetic Algorithm (GA) techniques to formulate optimal shipping routes and strategically position hub ports. …”
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AC Optimal Power Flow Problem Considering Wind Energy by an Improved Particle Swarm Optimization by Mohammad Reza Ansari, Hossein Ramzaninezhad

“…To solve the AC-OPF model, an Improved Particle Swarm Optimization (IPSO) is presented. …”
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Optimal Sizing and Deployment of Renewable Energy Generators in Practical Transmission Network Using Grid-Oriented Multiobjective Harmony Search Algorithm for Loss Reduction and Vo... by Pramod Kumar, Nagendra Kumar Swarnkar, Om Prakash Mahela, Baseem Khan, Divya Anand, Aman Singh, Juan Luis Vidal Mazon, Fahd S. Alharithi

“…It is established that the proposed GOMOHSA finds the optimal deployment of optimally sized RE generators, and the investment cost of deployment of these RE generators can be recovered within a time period that is less than 5 years. …”
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An Improved Shuffled Frog Leaping Algorithm for Electrical Resistivity Tomography Inversion by Fuyu Jiang, Likun Gao, Run Han, Minghui Dai, Haijun Chen, Jiong Ni, Yao Lei, Xiaoyu Xu, Sheng Zhang

“…Second, an adaptive movement operator is constructed to dynamically regulate the step size of the search, enhancing the guiding effect of the optimal solution. In synthetic data tests of three typical electrical models, including a high-resistivity anomaly with 5% random noise, a normal fault, and a reverse fault, the improved algorithm shows an approximately 2.3 times higher accuracy in boundary identification of the anomaly body compared to the least squares (LS) method and standard SFLA. …”
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Path Planning of Quadrupedal Robot Based on Improved RRT-Connect Algorithm by Xiaohua Xu, Peibo Li, Jiangwu Zhou, Wenzhuo Deng

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An Improved Hybrid Genetic Algorithm with a New Local Search Procedure by Wen Wan, Jeffrey B. Birch

“…One important challenge of a hybrid genetic algorithm (HGA) (also called memetic algorithm) is the tradeoff between global and local searching (LS) as it is the case that the cost of an LS can be rather high. …”
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An intelligent comprehensive scoring approach based on improved differential evolution algorithm by WANG Rongsheng, WANG Xiaogang, LONG Yixuan, LYU Yisheng, YUAN Zhiming

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An intelligent comprehensive scoring approach based on improved differential evolution algorithm by WANG Rongsheng, WANG Xiaogang, LONG Yixuan, LYU Yisheng, YUAN Zhiming

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Impact and integration of electric vehicles on renewable energy based microgrid: Frequency profile improvement by a-SCA optimized FO-Fuzzy PSS approach by Prakash Chandra Sahu

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GENETIC ALGORITHM IN OPTIMIZATION DESIGN OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR by Phuong Le Ngo

“…For designing PMSM, evolution algorithms are more attractive approach. Genetic algorithm is one of the most common. …”
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Insulator Defect Detection Algorithm Based on Improved YOLOv11n by Junmei Zhao, Shangxiao Miao, Rui Kang, Longkun Cao, Liping Zhang, Yifeng Ren

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Research of a spam filter based on improved naive Bayes algorithm by 曹翠玲, 王媛媛, 袁野, 赵国冬

“…In spam filtering filed,naive Bayes algorithm is one of the most popular algorithm,a modified using support vector machine(SVM)of the native Bayes algorithm :SVM-NB was proposed.Firstly,SVM constructs an optimal separating hyperplane for training set in the sample space at the junction two types of collection,Secondly,according to its similarities and differences between the neighboring class mark for each sample to reduce the sample space also increase the independence of classes of each samples.Finally,using naive Bayesian classification algorithm for mails.The simulation results show that the algorithm reduces the sample space complexity,get the optimal classification feature subset fast,improve the classification speed and accuracy of spam filtering effectively.…”
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Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm by FengJun Hu, Qian Zhang, Gang Wu

“…The control model is established by using the CKF algorithm, the covariance matrix of standard CKF is optimized by square root filter, the adaptive correction of error covariance matrix is realized by adding memory factor to the filter, and the disturbance factors in nonlinear time-varying discrete stochastic systems are eliminated by multistep feedback predictive control strategy, so as to improve the robustness of the algorithm. …”
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An Improved Spectral Clustering Community Detection Algorithm Based on Probability Matrix by Shuxia Ren, Shubo Zhang, Tao Wu

“…The similarity graphs of most spectral clustering algorithms carry lots of wrong community information. …”
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