Cooperative communication resources scheduling of satellite network using a mixed vector encoding heuristic algorithm by Jiaxuan Xie, Linling Kuang, Shan Gao

“…Due to the mixed vector encoding method, we design two optimization operators to guide the search direction of the population. Compared to the conventional optimization algorithm, the simulation experiment shows MVEHA has better solution performance and robustness to solve the communication resources allocation problem of the satellite network.…”
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INEH-VNS Algorithm Solved Automatic Production System Scheduling Problem under Just-in-Time Environment by Li Qingxiang, Zhao Xiaofei, He Yude, Yin Shaojun

“…Compared with the G-VNS algorithm, the average improvement rate of the approximate optimal solution is 45.9%, and the average stability rate of the INEH-VNS algorithm enhances 75.04%. …”
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A Metaheuristic Algorithm to Transporter Scheduling for Assembly Blocks in a Shipyard considering Precedence and Cooperating Constraints by Ning-Rong Tao, Zu-Hua Jiang, Jian-Feng Liu, Bei-Xin Xia, Bai-He Li

“…A hybrid topological graph is used to denote precedence and cooperating relationships of tasks. A metaheuristic algorithm based on the hybrid topological graph and genetic algorithm and Tabu search is proposed. …”
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Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm by Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, Mohamad Reza Sanaei

“…In this model, to increase the efficiency of the proposed method in compare with existing works, the gravitational search algorithm was used to select the useful features, and the differential evolution algorithm was used to adjust the parameters of the classification method. …”
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A Hybrid Multi-Strategy Optimization Metaheuristic Algorithm for Multi-Level Thresholding Color Image Segmentation by Amir Seyyedabbasi

“…The results show that the COSGO algorithm achieves competitive performance compared to other State-of-the-Art algorithms. …”
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Learning path planning methods based on learning path variability and ant colony optimization by Jing Zhao, Haitao Mao, Panpan Mao, Junyong Hao

“…Under the same experimental environment, the accuracy of the algorithm is as high as 0.9, which is conducive to the search for the optimal solution. …”
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A study of scheduling strategies for microgrids based on the non-dominated sorting dung beetle optimization algorithm by Yutong Chen, Wu Ning, Wei Du

“…Solutions within each tier demonstrate superior performance compared to those in other tiers. Moreover, when tackling multi—objective optimization problems, this approach effectively avoids falling into local optima and significantly enhances the algorithm’s global search capability. …”
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A Novel Improved Dung Beetle Optimization Algorithm for Collaborative 3D Path Planning of UAVs by Xiaojun Zheng, Rundong Liu, Siyang Li

“…We conducted 30 independent runs of ECFDBO on the CEC2017 benchmark suite. Compared with seven classical and novel metaheuristic algorithms, ECFDBO achieved statistically significant improvements in multiple performance metrics. …”
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A Hybrid Genetic Algorithm and Proximal Policy Optimization System for Efficient Multi-Agent Task Allocation by Zimo Zhu, Chuanqiang Yu, Junti Wang

“…To address these limitations, this study introduces a proximal policy optimization system augmented with a genetic algorithm (GAPPO) that integrates evolutionary search with deep reinforcement learning. …”
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Vibration Optimization of Fiber-Metal Laminated Composite Shallow Shell Panels Using an Adaptive PSO Algorithm by Hadi Ghashochi-Bargh, Mohammad Homayoun Sadr

“…To check the validity, the obtained results were compared with some other stacking sequences. The numerical results of the proposed approach were also compared with other algorithms, which showed that the A-PSO algorithm provides a much higher convergence and reduces the required CPU time in searching for a global optimization solution. …”
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A black-winged kite optimization algorithm enhanced by osprey optimization and vertical and horizontal crossover improvement by Yancang Li, Binli Shi, Weitao Qiao, Zunfeng Du

“…Abstract This paper addresses issues of inadequate accuracy and inconsistency between global search efficacy and local development capability in the black-winged kite algorithm for practical problem-solving by proposing a black-winged kite optimization algorithm that integrates the Osprey optimization algorithm and Crossbar enhancement (DKCBKA). …”
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Learning Gaussian Bayesian Network from Censored Data Subject to Limit of Detection by the Structural EM Algorithm by Ping-Feng Xu, Shanyi Lin, Qian-Zhen Zheng, Man-Lai Tang

“…Through simulation studies, we illustrate the superior performance of the cSEM algorithm compared to the existing competitors in terms of network recovery when censored data exist. …”
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A Data-Driven Comparative Analysis of Machine-Learning Models for Familial Hypercholesterolemia Detection by Tomasz Kocejko

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Comparative Analysis of Machine Learning Models for Predicting Innovation Outcomes: An Applied AI Approach by Marko Martinović, Kristian Dokic, Dalibor Pudić

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Promising algorithms to perilous applications: a systematic review of risk stratification tools for predicting healthcare utilisation by Hutan Ashrafian, Jessica Morley, Joe Zhang, Christopher Oddy

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Inverse design of promising electrocatalysts for CO2 reduction via generative models and bird swarm algorithm by Zhilong Song, Linfeng Fan, Shuaihua Lu, Chongyi Ling, Qionghua Zhou, Jinlan Wang

“…Here, we present a framework named Material Generation with Efficient Global Chemical Space Search (MAGECS) that addresses this challenge by integrating the bird swarm algorithm and supervised graph neural networks, enabling effective navigation of generative models in the immense chemical space towards materials with target properties. …”
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A Computationally Efficient MUSIC Algorithm with an Enhanced DOA Estimation Performance for a Crossed-Dipole Array by Hao Nan, Xiaofeng Ma, Yubing Han, Weixing Sheng

“…Compared with the existing dimension-reduction MUSIC algorithm, the proposed IRDR-MUSIC algorithm greatly reduce the complexity reduction almost without any performance loss since singular-value decomposition of the joint sum–difference covariance matrix operates in the real-valued domain, and only half of the range of the spatial spectrum search is required. …”
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The Design and Optimization of Additively Manufactured Windings Utilizing Data Driven Algorithms for Minimal Loss in Electric Machines by John McKay, Jill Miscandlon, Tatyana Konkova

“…The optimisation process consists of sensitivity analysis utilising an efficient hybrid 2D FEA-Analytical model, meta-modelling and genetic algorithm to search the design space for optimal winding designs. …”
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Low Complexity Unquantized Forward Stack Decoding Algorithm for Spinal Codes in Measurement While Drilling Communication by Xiaoyang Yu, Lei Liang, Ke Jiang, Tianwei Chen

“…Under severe channel fluctuations, forward stack decoding (FSD) tends to search more invalid nodes, increasing decoding complexity. …”
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Constrained Adaptive Weighted Particle Swarm Optimization (C-AWPSO) Algorithm for Dipping Fault Parameter Inversion by Shiquan Su, Juntao Liang, Chuang Xu, Feiyu Zhang, Hangtao Yu

“…To overcome the limitations of gravity inversion methods in fault inversion, this paper proposed a constrained adaptive weighted particle swarm optimization algorithm. Simulation experiments demonstrate that the proposed method exhibits stronger noise resistance compared to traditional optimization methods. …”
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