An improved polar lights optimization algorithm for global optimization and engineering applications by Tianping Huang, Faguo Huang, Zhaohui Qin, Jiafang Pan

“…Abstract The study proposes an enhanced, high-caliber Population Evolution Polar Lights Optimization (IPLO) algorithm to address the shortcomings of the existing Polar Lights Optimization (PLO) method. …”
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A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams by Youzhi Liu, Linshu Huang, Xu Xie, Huijuan Ye

“…The algorithm enhances global search capability through the introduction of a quantum potential well model, while incorporating adaptive mutation operations to prevent premature convergence, thereby improving optimization accuracy during later iterations. …”
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Path Planning of Quadrupedal Robot Based on Improved RRT-Connect Algorithm by Xiaohua Xu, Peibo Li, Jiangwu Zhou, Wenzhuo Deng

“…Compared with the original RRT-connect algorithm, the first solution time, total number of nodes, and initial path cost were reduced by more than 11%, 8.5%, and 2.5%, respectively.…”
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Research on autonomous navigation of mobile robots based on IA-DWA algorithm by Quanling He, Zongyan Wang, Kun Li, Yuting Zhang, Menglong Li

“…Abstract To improve the efficiency of mobile robot movement, this paper investigates the fusion of the A* algorithm with the Dynamic Window Approach (DWA) algorithm (IA-DWA) to quickly search for globally optimal collision-free paths and avoid unknown obstacles in time. …”
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Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance by Vipan Kusla, Gurbinder Singh Brar, Harpreet Kaur, Ramandeep Sandhu, Chander Prabha, Md. Mehedi Hassan, Shahab Abdulla, Md Rittique Alam, Samah Alshathri, Walid El-Shafai

“…To validate the efficacy of the proposed algorithm, it has been compared to a number of well-known and widely-used classical algorithms, the Gravitational Search Algorithm, the Earthworm Optimization. …”
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PREDICT OF THE SMALL SIZE OBJECT POSITION ON THE VIDEO STREAM FRAMES FROM THE BOARD OF UNMANNED AERIAL VEHICLE by I. A. Baryskievic

“…Proposed stabilization method provides a parametrization and localization time reduction to 5.2 times compared with the SURF method. Proposed search algorithm speeds up frame processing time approximately in 6.2 times in comparison with the standard covariance method.…”
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Exact and greedy algorithms of allocating experts to maximum set of programmer teams by A. A. Prihozhy

“…This paper solves the problem of forming the maximum number of teams whose experts meet all the constraints within each team. It develops and compares two algorithms: a heuristic greedy and exact optimal. …”
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Gaslike Social Motility: Optimization Algorithm with Application in Image Thresholding Segmentation by Oscar D. Sanchez, Luz M. Reyes, Arturo Valdivia-González, Alma Y. Alanis, Eduardo Rangel-Heras

“…GSM is rigorously evaluated against established and recent metaheuristic algorithms, including Particle Swarm Optimization (PSO), Differential Evolution (DE), Bat Algorithm (BA), Artificial Bee Colony (ABC), Artificial Hummingbird Algorithm (AHA), AHA with Aquila Optimization (AHA-AO), Colliding Bodies Optimization (CBO), Enhanced CBO (ECBO), and Social Network Search (SNS). …”
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Key Generation in Cryptography Using Elliptic-Curve Cryptography and Genetic Algorithm by Sanjay Kumar, Deepmala Sharma

“…Elliptic-curve cryptography (ECC) has become a robust cryptographic technique that ensures secure data transmission with comparatively small key sizes. In this context, this research introduces a novel approach to ECC-key-pair generation by utilizing genetic algorithms (GAs). …”
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A hybrid particle swarm optimization algorithm for solving engineering problem by Jinwei Qiao, Guangyuan Wang, Zhi Yang, Xiaochuan Luo, Jun Chen, Kan Li, Pengbo Liu

“…Finally, the algorithm applies the spiral shrinkage search strategy from the whale optimization algorithm (WOA) and the Differential Evolution (DE) mutation strategy in the later iteration to accelerate the convergence speed. …”
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Parameter Identification of Permanent Magnet Synchronous Motor Based on LSOSMO Algorithm by Songcan Zhang, Zhuangzhuang Zhou, Yi Pu, Yan Li, Yingxi Xu

“…First, the logistic sinusoidal chaotic mapping strategy was used to enhance the uniformity of the initial population of the spider monkey optimization (SMO) algorithm. Then, in the local leader stage and the local leader decision stage of the SMO, the dynamic probability adaptive T-distribution method and opposition-based learning strategy are used to replace the greedy selection strategy, increase the position disturbance, and balance the global search and local search ability of the algorithm, so as to improve the performance and convergence speed of the algorithm. …”
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Seismic Inversion Problem Using a Multioperator Whale Optimization Algorithm by Rui Ni, Xiaodan Liang

“…From the experimental results, the performance of MOWOA outperforms the compared algorithms in global optimization.…”
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A Comparison of Genetic Programming with Genetic Algorithms for Wire Antenna Design by P. J. Williams, T. C. A. Molteno

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A Modified Artificial Bee Colony Algorithm for p-Center Problems by Alkın Yurtkuran, Erdal Emel

“…This study proposes a modified ABC algorithm that benefits from a variety of search strategies to balance exploration and exploitation. …”
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Optimal power allocation in spatial MIMO channel using heuristic algorithms by Javad Zeraatkar Moghaddam, Hamid Farrokhi

“…We demonstrate that the performance of genetic and particle swarm optimization algorithms is optimal compared with a perfect search at a reduced computational complexity. …”
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Design Optimization of Stewart-Gough Platform based on Differential Evolution Algorithm by Wang Ting, Miao Hongbin, Wu Quanjun, Jin Weihe

“…The results of optimization suggests that the aim of maximize the payload and minimize the forces at each leg needed to counteract external forces applied to the mobile platform can achieved by appropriate select the Stewart-Gough platform structure and parameters. Compared with other algorithms,the differential evolution algorithm has better global search ability,thus select the differential evolution algorithm as optimization tools. …”
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Embedded Image and Video Coding Algorithm Based on Adaptive Filtering Equation by Zhe Fu

“…Based on the improved adaptive filtering method, this paper conducts in-depth discussion and research on embedded graphics and video coding and chooses to improve the adaptive filtering algorithm from three aspects: starting point prediction, search template, and window partitioning. …”
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Research on path planning of robotic arms based on DAPF-RRT algorithm. by Zhenggang Wang, Junyang Tang, Fangxu Yi, Xiangrui Ren, Kunxiang Wang

“…In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”
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Conjugate Gradient Algorithm Based on Aitken's Process for Training Neural Networks by Khalil Abbo, Hind Mohammed

“…In this paper, we propose a conjugate gradient neural network training algorithm by using  Aitken's process which guarantees sufficient descent with Wolfe line search. …”
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HashTrie:a space-efficient multiple string matching algorithm by Ping ZHANG, Yan-bing LIU, Jing YU, Jian-long TAN

“…The famous multiple string matching algorithm AC consumed huge memory when the string signatures were massive,thus unable to process high speed network traffic efficiently.To solve this problem,a space-efficient multiple string matching algorithm-HashTrie was proposed.This algorithm adopted recursive hash function to store the patterns in bit-vectors in place of the state transition table in order to reduce space consumption.Further more it made use of the rank operation for fast verification.Theoretic analysis shows that the space complexity of HashTrie is O(|P|),which is linear with the size of pattern set |P|and is independent of the alphabetsize σ.The space complexity is superior to the complexity O(|P|σlog|P|)of AC.Experiments on synthetic datasets and real-world datasets(such as Snort,ClamAV and URL)show that HashTrie saves up to 99.6% storage cost compared with AC,and in the meanwhile it runs at a matching speed that is about half of AC.HashTrie is a space-efficient multiple string matching algorithm that is appropriate to search large scale pattern strings with short lengths.…”
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