Retinal Vessel Segmentation Using Math-Inspired Metaheuristic Algorithms by Mehmet Bahadır Çetinkaya, Sevim Adige

“…Firstly, the segmentation results of each algorithm were obtained and compared with each other. …”
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An Interleaved Artificial Bee Colony algorithm for dynamic optimisation problems by Salwani Abdullah, Shams K. Nseef, Ayad Turky

“…The experimental results indicated that the proposed algorithm achieved better results than the compared methods for 8 out of 11 scenarios.…”
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Path Planning of Intelligent Mobile Robots with an Improved RRT Algorithm by Wenliang Zhu, Guanming Qiu

“…Initially, this algorithm addresses the issue of inverse growth in the RRT algorithm’s search tree by implementing a variable steering angle strategy, thereby minimizing oscillations and unnecessary pose adjustments. …”
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From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction by Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

“…Compared to comparable systems without feature selection, feature resampling, and optimization methods, the results demonstrate that employing optimized XGBoost along with grid search in conjunction with SelectKBest and SMOTE strategy has resulted in greater performance, with an 89% R2 score. …”
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An Adaptive Chaotic Sine Cosine Algorithm for Constrained and Unconstrained Optimization by Yetao Ji, Jiaze Tu, Hanfeng Zhou, Wenyong Gui, Guoxi Liang, Huiling Chen, Mingjing Wang

“…First, an adaptive transformation parameter is proposed to make transformation more flexible between global search and local exploitation. Then, the chaotic local search is added to augment the local searching patterns of the algorithm. …”
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Localization of Acoustic Emission Source in Rock Using SMIGWO Algorithm by Jiong Wei, Fuqiang Gao, Jinfu Lou, Lei Yang, Xiaoqing Wang

“…Experimental results demonstrate that, compared to the conventional GWO algorithm-based AE localization algorithm, the proposed algorithm achieves a higher solution accuracy and showcases a shorter search time. …”
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Global–Local Cooperative Optimization in Photonic Inverse Design Algorithms by Mingzhe Li, Tong Wang, Yi Zhang, Yulin Shen, Jie Yang, Ke Zhang, Dehui Pan, Ming Xin

“…Compared to the conventional Direct Binary Search (DBS), the GLINT algorithm not only significantly enhances computational efficiency through its global search–local refinement framework but also achieves a superior 20 nm × 20 nm optimization resolution while maintaining its optimization speed—substantially advancing the design capability. …”
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Enhanced zebra optimization algorithm and applications of power allocation in SDWN by LI Jiajia, DONG Ligang, JIANG Xian

“…By introducing exploration factors and perturbation parameters into the zebra optimization algorithm, EZOA enhanced global search and local exploitation capabilities, while also improving the foraging strategy to increase algorithm diversity. …”
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Determination of Pavement Rehabilitation Activities through a Permutation Algorithm by Sangyum Lee, Sungho Mun, Hyungchul Moon

“…The model maximized the rehabilitation area through a newly developed permutation algorithm, based on the procedures outlined in the harmony search (HS) algorithm. …”
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High-precision symbol timing algorithm for specific emitter identification by Yiwei PAN, Hua PENG, Tianyun LI, Wenya WANG

“…The existing symbol timing algorithms have the problems that the method of delay estimation is improper and the calculation precision of the interpolation is insufficient for the pretreatment of specific emitter identification.A high-precision symbol timing algorithm was proposed to solve these problems.Aiming at the former problem,a two-step estimation method was adopted,rough estimation of delay was firstly obtained by the forward algorithm,and then the accurate value was acquired through local search with the demodulated symbols.For the latter problem,a window-based approach was used to design an interpolating filter which could optimize the anti-aliasing characteristics and improve the calculation accuracy.Simulation results show that the proposed algorithm can effectively solve the above problems and achieve better recognition results in the radiation source recognition compared with the conventional symbol timing algorithm.…”
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Application of Improved K-Means Algorithm in Collaborative Recommendation System by Hui Jing

“…The experimental results show that the MAE value of the new fitness function is 0.767 on average, which has good separation and compactness in clustering effect. It shows high search accuracy and speed. Compared with the original collaborative filtering algorithm, the average absolute error value of this algorithm is low, and the running time is only 50 s. …”
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High-precision symbol timing algorithm for specific emitter identification by Yiwei PAN, Hua PENG, Tianyun LI, Wenya WANG

“…The existing symbol timing algorithms have the problems that the method of delay estimation is improper and the calculation precision of the interpolation is insufficient for the pretreatment of specific emitter identification.A high-precision symbol timing algorithm was proposed to solve these problems.Aiming at the former problem,a two-step estimation method was adopted,rough estimation of delay was firstly obtained by the forward algorithm,and then the accurate value was acquired through local search with the demodulated symbols.For the latter problem,a window-based approach was used to design an interpolating filter which could optimize the anti-aliasing characteristics and improve the calculation accuracy.Simulation results show that the proposed algorithm can effectively solve the above problems and achieve better recognition results in the radiation source recognition compared with the conventional symbol timing algorithm.…”
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An Adaptive Hybrid Chicken Swarm-Particle Swarm Optimization Algorithm by XIAO Yuhe, LI Maojun, QI Zhan, LIU Fu

“…Firstly, in order to solve the problems of poor global search ability and low convergence accuracy of the basic chicken swarm algorithm, a dynamic weight strategy and the global optimal individual are introduced into the chicken position updating formula, and a improved chicken swarm algorithm is proposed. …”
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Improved lattice enumeration algorithms by primal and dual reordering methods by Kazuki Yamamura, Yuntao Wang, Eiichiro Fujisaki

“…The original enumeration (ENUM) algorithm solving SVP runs in exponential time due to the exhaustive search, which is used as a subroutine for the block Korkin–Zolotarev (BKZ) algorithm. …”
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Ship Pipe Layout Based on Grid Normalized Astar Algorithm by LIN Yan, ZHANG Qiaoyu, LOU Jiandi

“…Finally, the GNAstar proposed is compared with the traditional Astar in a simulation case, and different pipe systems in ship engine room are taken as cases to further compare with the ant colony algorithm and particle swarm-Astar. …”
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A Comparison of Algorithms for Finding an Efficient Theme Park Tour by Elizabeth L. Bouzarth, Richard J. Forrester, Kevin R. Hutson, Rahul Isaac, James Midkiff, Danny Rivers, Leonard J. Testa

“…In this paper, we present a mixed-integer linear programming formulation of the TSP-TS and describe a branch-and-cut algorithm based on this model. In addition, we develop a lower bound for the TSP-TS and describe two metaheuristic approaches for obtaining good quality solutions: a genetic algorithm and a tabu search algorithm. …”
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Microservice combination optimisation based on improved gray wolf algorithm by Jingjing Hu, Xiaojun Xu, Jin Hao, Xiuqi Yang, Kefan Qiu, Yuanzhang Li

“…The experimental results verify that the error rate of the method is only 0.528% on the non-functional combination optimisation problem, and the computational efficiency of the algorithm increases by 97.29% when the complexity of the problem search space increases, while CGWO improves 65.97% and 81.25% respectively in the accuracy of optimisation compared to the prototype of the algorithm (GWO), and has a stable optimisation performance, aspect. …”
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Cloud drift optimization algorithm as a nature-inspired metaheuristic by Mohammad Alibabaei Shahraki

“…The algorithm has undergone rigorous testing against various established unimodal and multimodal benchmark functions, where it showcases outstanding performance characterized by faster convergence rates, high robustness, and exceptional solution accuracy compared to top contemporary optimization techniques. …”
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Sequential Memetic Algorithm Optimization for Allocation Planning in Hostelry Establishments by Rubén Ferrero-Guillén, Alberto Martínez-Gutiérrez, Rubén Álvarez, Javier Díez-González

“…Therefore, in this paper, a sequential optimization methodology based on a GBLS MA (Gradient-Based Local Search Memetic Algorithm) optimizations is proposed for optimizing the table and chair disposition simultaneously while also considering scenario and distancing restrictions. …”
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A Mutual-Evaluation Genetic Algorithm for Numerical and Routing Optimization by Chih-Hao Lin, Jiun-De He

“…To improve the search efficiency of traditional genetic algorithms, this paper presents a mutual-evaluation genetic algorithm (MEGA). …”
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