Optimization of external container delivery and pickup scheduling based on appointment mechanism. by Pengfei Huang, Hao Wang, Fangjiao Tan, Yuyue Jiang, Jinfen Cai

“…Through case studies, we have demonstrated the superior performance of this algorithm in addressing relevant problems. The results show that, in terms of truck operational costs, the improved algorithm reduces costs by 10.96% and 3.02% compared to traditional Ant Colony Optimization and Variable Neighborhood Search algorithms, respectively, and by 4.89% compared to manual scheduling. …”
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Application of Markov processes for analysis and control of aircraft maintainability by Yu. M. Chinyuchin, A. S. Solov'ev

“…In order to reduce the number of the mathematical operations for the analysis of aeronautical engineering maintainability by using non-stationary Markov processes an algorithm for their optimization is presented. The suggested methods of the analysis by means of Markov chains allow to execute comparative assessments of expected maintenance and repair costs for one or several one-type objects taking into account their original conditions and operation time. …”
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Assessment of the sustainability of organization development in the process of strategic controlling by A. R. Khachemizov, V. I. Zarubin, A. K. Dorgushaova

“…To achieve the goal of the research the following methods were used: theoretical generalization, analysis and synthesis, system approach, comparative and structural analysis. The system of indicators for the development of an economic entity, which makes it possible to assess the stability of an enterprise in quantitative, qualitative and structural components, which contributes to an increase in the level of validity of decisions, as well as an algorithm for an integral assessment of the development of an enterprise, which makes it possible to implement strategic controlling of enterprise stability have become the results of the research. …”
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Modified Swarm-Based Artificial Intelligence Optimization for Optimal Coordination of Directional Overcurrent Relays in Power System by Abdul Wadood, Hani Albalawi, Aadel Mohammed Alatwi, Herie Park

“…The proposed method employs a Quantum-Inspired Adaptive Walrus Optimization Algorithm (QIAWOA), a modified swarm-based artificial intelligence technique (AI) that incorporate rates quantum-inspired principles, such as adaptive quantum rotation gates, to enhance search dynamics and facilitate precise relay coordination. …”
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A Rule-Based Agent for Unmanned Systems with TDGG and VGD for Online Air Target Intention Recognition by Li Chen, Jing Yang, Yuzhen Zhou, Yanxiang Ling, Jialong Zhang

“…Finally, to have a performance evaluation and application analysis for the algorithm, we carried out a data instance analysis of ATIR for unmanned systems and an air defense warfare simulation experiment based on a Wargame platform; the comparative experiments with the classical k-means, FCNIRM, and the sector-based forward search method verified the effectiveness and feasibility of the proposed agent, which characterizes it as a promising tool or baseline model for the battlefield situational awareness tasks of unmanned systems.…”
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Differentially expressed genes in the pre-eclamptic placenta: a systematic review and meta-analysis. by C Emily Kleinrouweler, Miranda van Uitert, Perry D Moerland, Carrie Ris-Stalpers, Joris A M van der Post, Gijs B Afink

“…Using a vote-counting method based on a comparative meta-profiling algorithm, we determined a meta-signature that characterizes the significant intersection of differentially expressed genes from the collection of independent gene signatures.…”
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Double Deep Q-Network-Based Solution to a Dynamic, Energy-Efficient Hybrid Flow Shop Scheduling System with the Transport Process by Qinglei Zhang, Huaqiang Si, Jiyun Qin, Jianguo Duan, Ying Zhou, Huaixia Shi, Liang Nie

“…In addition, 36 test instances of varying sizes, simplified from the excavator boom manufacturing process, are designed for comparative experiments with traditional algorithms. …”
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Prediction of compressive strength and characteristics analysis of semi-flexible pavement desert sand grouting material based upon hybrid-BP neural network by Wenbang Zhu, Yuhang Li, Xiumei Zheng, Enze Hao, Dali Zhang, Zhen Wang

“…To precisely obtain DSGM exhibiting exceptional mechanical properties, the Backpropagation Neural Network (BPNN) model was optimized through the utilization of Particle Swarm Optimization (PSO), Sparrow Search Algorithm (SSA), and Genetic Algorithm (GA). …”
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An Adaptive Data-Driven Approach to Solve Real-World Vehicle Routing Problems in Logistics by Emir Žunić, Dženana Đonko, Emir Buza

“…The proposed algorithm combines several data transformation approaches, heuristics, and Tabu search. …”
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A novel integrated TDLAVOA-XGBoost model for tool wear prediction in lathe and milling operations by Zhongyuan Che, Chong Peng, Chi Wang, Jikun Wang

“…The algorithm optimized individual fitness by guiding boundary searches toward optimal ranges, thereby increasing elite population generation. …”
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Enhancing water saturation predictions from conventional well logs in a carbonate gas reservoir with a hybrid CNN-LSTM model by Ali Gohari Nezhad, Mohammad Emami Niri

“…XGBoost hyperparameters were tuned using grid search, and each neural network model was optimized using a genetic algorithm. …”
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Simulation analysis of path planning for workpiece clamping robots based on digital twin technology by Xin PAN, Min LIANG, Yanchao YIN, Zhong CHEN

“…By integrating dynamic constraint sampling with adaptive step-size adjustments, the algorithm significantly enhances the efficiency of random tree search process. …”
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White Shark Optimization for Solving Workshop Layout Optimization Problem by Bin Guo, Yuanfei Wei, Qifang Luo, Yongquan Zhou

“…Using a real–world case study, the White Shark Optimizer (WSO) algorithm is applied to solve the model. The results show that the transportation distance of the layout scheme obtained by the WSO algorithm is reduced by 381 m, 82 m, and 56 m, respectively, compared with the original layout, the Genetic Algorithm (GA), and the Sparrow Search Algorithm (SSA), and the non–logical relationship is increased by 24.84% and 1.6%, respectively. …”
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Scan path visualization and comparison using visual aggregation techniques by Vsevolod Peysakhovich, Christophe Hurter

“…Flow direction maps, computed during bundling, can be visualized separately (vertical or horizontal components) or as a single image using the Oriented Line Integral Convolution (OLIC) algorithm. Furthermore, cosine similarity between two flow direction maps provides a similarity map to compare two scanpaths. …”
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Bare-Bones Teaching-Learning-Based Optimization by Feng Zou, Lei Wang, Xinhong Hei, Debao Chen, Qiaoyong Jiang, Hongye Li

“…Conducted experiments can been observed that the BBTLBO performs significantly better than, or at least comparable to, TLBO and some existing bare-bones algorithms. …”
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Cooperative UAV Scheduling for Power Grid Deicing Using Fuzzy Learning and Evolutionary Optimization by Yu-Jun Zheng, Zhi-Yuan Zhang, Jia-Yu Yan, Wei-Guo Sheng

“…We propose an evolutionary algorithm, which combines global search without individual interaction and adaptive local search that uses a fuzzy inference system to determine the operator to be applied on each solution. …”
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Approximated Optimal Solution for Economic Manufacturing Quantity Model by Jinyuan Liu, Pengfei Jiang, Shr-Shiung Hu, Gino K. Yang

“…In a numerical example, the proposed method shrinks the initial search range by over 99% compared to prior methods and achieves a production run length that produces a near-minimal average total cost. …”
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Application of IRSA-BP neural network in diagnosing diabetes. by Wan-Hua Zhang, Zi-Xun Zhang

“…Using the data set published by Kare, this paper constructs and compares various intelligent systems based on multilayer algorithms, and specifically introduces improved reptile search algorithm (IRSA) to optimize the weight and threshold initialization of traditional backpropagation (BP) neural networks. …”
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A New Approach to Circulatory System-Based Optimization for the Shape and Sizing Design of Truss Structures by Ibrahim Behram Ugur, Sadik Ozgur Degertekin

“…This paper presents a new approach to the circulatory system-based optimization algorithm called NCSBO. The proposed method incorporates an adaptive parameter-tuning strategy and a refined mutation approach to improve the performance of optimizing the shape and size of truss structures. …”
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Self-Optimization of Pilot Power in Enterprise Femtocells Using Multi objective Heuristic by Lina S. Mohjazi, Mahmoud A. Al-Qutayri, Hassan R. Barada, Kin F. Poon, Raed M. Shubair

“…Finally, for a given traffic distribution, the solution quality and the efficiency of the described algorithm were evaluated by comparing the results generated by an exhaustive search with the same pilot power configuration.…”
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