Comparing variable neighbourhood search algorithms for the direct aperture optimisation in radiotherapy by Mauricio Moyano, Keiny Meza-Vasquez, Gonzalo Tello-Valenzuela, Nicolle Ojeda-Ortega, Carolina Lagos, Guillermo Cabrera-Guerrero

“…In this article, we propose and compare two variable neighbourhood search (VNS) based algorithms, called variable neighbourhood descent (VND) and reduced variable neighbourhood search (rVNS). …”
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Comparative analysis of AI-based search algorithms in solving 8 puzzle problems by Ghaniyyat Bolanle Balogun, Daniel Ibisagba, Amos Bajeh, Taofik Olawale Debo, Abdulraheem Muyideen, Olumuyiwa James Peter

“…Abstract Background The 8-puzzle problem is a well-known combinatorial search problem, often used to test the effectiveness of various artificial intelligence (AI) algorithms. …”
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Efficient Pathfinding on Grid Maps: Comparative Analysis of Classical Algorithms and Incremental Line Search by Amr Elshahed, Majid Khan Bin Majahar Ali, Ahmad Sufril Azlan Mohamed, Farah Aini Binti Abdullah, Ts. Lee Jian Aun

“…Pathfinding on grid maps is a cornerstone problem in robotics, autonomous navigation, and game development. Classical algorithms such as A*, Dijkstra’s, and Breadth-First Search (BFS) are known for their ability to guarantee optimal solutions, while others like Depth-First Search (DFS) and Greedy Best-First Search prioritize speed over optimality. …”
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Research on Reverse Search System of Intelligent Parking Lot by MA Jihui, WANG Lijie, ZHAO Yuanzhen, SUN Jianbo

“…Comparing the simulation results of path optimization in different environments, the improved A ∗ algorithm reduces the number of search nodes by 60% ~ 80% compared with the breadth first algorithm.…”
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Research on Spread Spectrum Codes Optimized by Sparrow Search Algorithm and Extreme Gradient Boosting by LIANG Zhiru, BIAN Dongming, ZHANG Gengxin

“…【Methods】This paper proposes a method of using Sparrow Search Algorithm (SSA) to optimize Extreme Gradient Boosting (XGBOOST) for third-order correlation peak classification of direct spread signals to improve the accuracy of <italic>m</italic>-sequence classification and identification.…”
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Research on path planning for mine rescue UAV based on improved Artificial Jellyfish Search algorithm by ZHENG Xuezhao, DIAO Chengze, CAI Guobin, WEN Hu, YANG Bo, HOU Zongxuan, MOU Haowei

“…To improve the path search efficiency and path optimization of mine rescue UAVs in environments with narrow passages and dense, complex obstacles, a path planning method based on the improved Artificial Jellyfish Search (IJS) algorithm was proposed. …”
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Research on the construction of English vocabulary learning recommendation system based on multi-objective crow search algorithm by Mengli Li

“…As the algorithm iterates, we gradually increase the search radius to explore a broader solution space. …”
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Quantum search algorithm on weighted databases by Yifan Sun, Lian-Ao Wu

“…Abstract The Grover algorithm is a crucial solution for addressing unstructured search problems and has emerged as an essential quantum subroutine in various complex algorithms. …”
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An Improved Squirrel Search Algorithm for Optimization by Tongyi Zheng, Weili Luo

“…Squirrel search algorithm (SSA) is a new biological-inspired optimization algorithm, which has been proved to be more effective for solving unimodal, multimodal, and multidimensional optimization problems. …”
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A SEARCHING ALGORITHM FOR TEXT WITH MISTAKES by S. Nasr, O. V. German

“…The idea consists in division of the searching process in two phases: at the first phase a fuzzy variant of the Boyer–Moore algorithm is performed; at the second phase the Dice metrics is used. …”
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Vehicle routing problem in a medical facility waste collection company: a comparative analysis of guided local search, simulated annealing and tabu search algorithm by Michael Anderson, Sumarsono Sudarto

“…Vehicle Routing Problem (VRP) is closely related to real-life situations, particularly in logistics. Therefore, this research aimed to 1) solve VRP problem faced by a waste management company by comparing three algorithms, namely guided local search, tabu search, and simulated annealing. 2) summarize the development of VRP by comparing several variants, and 3) assess the environmental impact through sensitivity analysis. …”
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A comparative study of drones path planning and bezier curve optimization based on multi-strategy search algorithm by Ganbin Xu

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Comparing the Speed and Accuracy of the Smith and Waterman Algorithm as Implemented by Mpsrch with the Blast and Fasta Heuristics for Sequence Similarity Searching by Michael A. Muratet

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A comparative study of drones path planning and bezier curve optimization based on multi-strategy search algorithm. by Ganbin Xu

“…The study compares three algorithms: Rapidly-exploring Random Trees (RRT), Ant Colony Optimization (ACO), and A*. …”
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EGS-CSF: an adaptive ground point cloud filtering framework based on evolutionary gradient search by Caiyan Gao, Deer Liu

Subjects: “…evolutionary gradient search algorithm…”
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Comparative Study on Hyperparameter Tuning for Predicting Concrete Compressive Strength by Jeonghyun Kim, Donwoo Lee

“…For Dataset 1, the application of search algorithms appeared to improve prediction accuracy to some extent. …”
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Optimized PID Tuning in Longitudinal Control of Electric Autonomous Vehicles: A Comparative Study of Jellyfish Search and Genetic Algorithm by Asmaa Guendouz, Mustapha Hatti, Abdelhalim Tlemçani

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Generalised Adaptive Harmony Search: A Comparative Analysis of Modern Harmony Search by Jaco Fourie, Richard Green, Zong Woo Geem

“…Harmony search (HS) was introduced in 2001 as a heuristic population-based optimisation algorithm. …”
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A Cuckoo Search Algorithm for Multimodal Optimization by Erik Cuevas, Adolfo Reyna-Orta

“…Interest in multimodal optimization is expanding rapidly, since many practical engineering problems demand the localization of multiple optima within a search space. On the other hand, the cuckoo search (CS) algorithm is a simple and effective global optimization algorithm which can not be directly applied to solve multimodal optimization problems. …”
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Flamingo Search Algorithm for aircraft landing scheduling by Zied O. Ahmed, Noor T. Mahmood, Sura Mazin Ali

“…The algorithm works by having each flamingo in the flock search for a local optimum solution. …”
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