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. …”
Get full text

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

Get full text

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. …”
Get full text

Comparative analysis of image hashing algorithms for visual object tracking by Vitalii Naumenko, Sergiy Abramov, Vladimir Lukin

“…The objectives of the research include: developing and implementing object tracking based on the aHash, dHash, pHash, mHash, LHash, and LDHash algorithms; comparing the processing speed and accuracy of these methods on the video sequences "OccludedFace2," "David," and "Sylvester"; determining the tracking success rate (TSR) and frames per second (FPS) metrics for each algorithm; analyzing the impact of the search window size, search strategy, and type of hashing on tracking quality, and providing recommendations for their use. …”
Get full text

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. …”
Get full text

Comparative Analysis of Supervised Classification Algorithms for Residential Water End Uses by Zahra Heydari, Ashlynn S. Stillwell

Get full text

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.…”
Get full text

Comparative performance evaluation of economic load dispatch using metaheuristic techniques: A practical case study for Bangladesh by Sumaiya Janefar, Prangon Chowdhury, Rahbaar Yeassin, Mahmudul Hasan, Nahid-Ur-Rahman Chowdhury

Get full text

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. …”
Get full text

Comparative analysis of machine learning algorithms for predicting depression among individuals with diabetes by Hind Bourkhime, Noura Qarmiche, Soumaya Benmaamar, Nada Lazar, Mohammed Omari, Mohamed Berraho, Nabil Tachfouti, Samira El Fakir, Hanan El Ouahabi, Nada Otmani

“…Consequently, effective management of the co-occurrence of diabetes and depression is likely to significantly improve the quality of patient care. This research study presents a comprehensive comparative analysis of eight distinct machine learning (ML) algorithms to predict depression among individuals with diabetes. …”
Get full text

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. …”
Get full text

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.…”
Get full text

Structural Damage Detection Based on Sparrow Search Algorithm by Ziyan Ma, Xi Peng, Fengjiang Qin, Qiuwei Yang, Bin Xu

“…The advantages of the proposed method are as follows: firstly, the SSA, compared to other swarm intelligence algorithms, can more accurately solve for damage parameters; secondly, sensitivity analysis is used to predefine the search area, thereby enhancing computational efficiency; furthermore, a conversion formula is applied to enhance computational accuracy in cases of significant damage. …”
Get full text

Optimisation of engineering system using a novel search algorithm: the Spacing Multi-Objective Genetic Algorithm by L. Falahiazar, H. Shah-Hosseini

“…Recently, it has been recognised that the evolutionary algorithms optimise well these types of problems. This paper proposes a novel multi-objective search algorithm that is called the Spacing Multi-Objective Genetic Algorithm (Spacing-MOGA). …”
Get full text

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. …”
Get full text

Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

“…The implications of this research extend beyond the specific context of <italic>kd-tree</italic> nearest neighbor searches. …”
Get full text

New One-Dimensional Search Iteration Algorithm and Engineering Application by Yiping Luo, Jinhao Meng, Defa Wang, Guobin Xue

“…Based on the solution of the Golden Section method, this paper proposes an efficient one-dimensional search algorithm, which has the advantages of fast convergence and good stability. …”
Get full text

Research on a New Maximum Power Tracking Algorithm for Photovoltaic Power Generation Systems by Lei Shi, Zongyu Zhang, Yongrui Yu, Chun Xie, Tongbin Yang

“…OBJECTIVES: This study aims to introduce a novel MMPT algorithm based on the ant colony incorporated bald eagle search optimization (AC-BESO) method to enhance the efficiency of PV systems. …”
Get full text

Two-Step Quantum Search Algorithm for Solving Traveling Salesman Problems by Rei Sato, Cui Gordon, Kazuhiro Saito, Hideyuki Kawashima, Tetsuro Nikuni, Shohei Watabe

“…In the second step, the optimal solution state is amplified from this superposition state. The TSQS algorithm demonstrates greater efficiency compared to conventional search algorithms that employ a single oracle operator for finding a solution within the encoded space. …”
Get full text

Adaptive Cooperative Search Algorithm for Air Pollution Detection Using Drones by Il-kyu Ha

“…This paper presents a 3D cube-based adaptive cooperative search algorithm that allows two drones to collaborate to explore air pollution. …”
Get full text