An Improved Multi-Objective Adaptive Human Learning Optimization Algorithm and Its Application in Optimizing Formulation Schemes for Rotary Hearth Furnaces by Jun Yao, Songcheng Zhou, Ling Wang, Xianxia Zhang

“…An improved multi-objective adaptive human learning optimization algorithm (IMOAHLO) is proposed, which enhances local optimization through neighborhood search and an adaptive learning mechanism. …”
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Multi-Strategy Improved Harris Hawk Optimization Algorithm and Its Application in Path Planning by Chaoli Tang, Wenyan Li, Tao Han, Lu Yu, Tao Cui

“…For this reason, this paper proposes a Multi-strategy Improved Harris Hawk Optimization (MIHHO) algorithm. First, the double adaptive weight strategy is used to enhance the search capability of the algorithm to significantly improve the convergence accuracy and speed of path planning; second, the Dimension Learning-based Hunting (DLH) search strategy is introduced to effectively balance exploration and exploitation while maintaining the diversity of the population; and then, Position update strategy based on Dung Beetle Optimizer algorithm is proposed to reduce the algorithm’s possibility of falling into local optimal solutions during path planning. …”
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Enhancing sentiment analysis in tourism reviews: A comparative study of algorithms in ASPECT-BASED SENTIMENT ANALYSIS and EMOTION DETECTION by Viktor Handrianus Pranatawijaya, Putu Bagus Adidyana Anugrah Putra, Ressa Priskila, Novera Kristianti

“…This research aims to combine Aspect-Based Sentiment Analysis (ABSA) and emotion detection for a more in-depth analysis of tourism reviews in Palangka Raya City and compare the performance of various algorithms. Review data was taken from Google Maps and analyzed using BoW, LDA, NRC Emotion Lexicon, machine learning, and deep learning algorithms such as Logistic Regression (LR), Naïve Bayes (NB), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Gradient Boosting (GB), Decision Tree (DT), and BERT. …”
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Optimizing the neural network and iterated function system parameters for fractal approximation using a modified evolutionary algorithm by Sana Abdulla, K. Mahipal Reddy

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Bayesian optimization with Optuna for enhanced soil nutrient prediction: a comparative study with genetic algorithm and particle swarm optimization by Bamidele A. Dada, Nnamdi I. Nwulu, Seun O. Olukanmi

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Evaluating Expert Opinion-Based Reservoir Operation in Cfa/Csa Climatic Conditions by Mahdi Sedighkia, Bithin Datta

“…The performance of the fuzzy method was compared to two meta-heuristic algorithms: gravitational search algorithm (GSA) and shuffled frog leaping algorithm (SFLA). …”
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Study on Energy-saving Control of Large Central Air-conditioning System Based on BAS-PSO by Chen Yang, Yao Ye

“…The energy consumption of the system is considered as the optimization goal, and the hybrid algorithm of beetle antennae search-particle swarm optimization algorithm (BAS-PSO) is used to solve this problem, which not only saves energy but also improves the defects of traditional PSO. …”
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Algoritmo para o problema de seqüenciamento em máquinas paralelas não-relacionadas Algorithm to solve the unrelated parallel machine scheduling problem by Felipe Martins Müller, Odon Bastos Dias, Olinto César Bassi de Araújo

“…The proposed algorithm, called Mutat, is compared with other algorithms in order to evaluate the quality of the solutions obtained. …”
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Solar PV focused LFC studies utilizing an SFS-optimized PID with fractional derivative (PIDDμ), and incorporating BESS and FESS applications by S.B. Masikana, Gulshan Sharma, Sachin Sharma, Pitshou N. Bokoro, Emre Çelik

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Multiobjective distribution system operation with demand response to optimize solar hosting capacity, voltage deviation index and network loss by Kabulo Loji, Sachin Sharma, Gulshan Sharma, Tanuj Rawat

“…To solve this complex problem, the modified crow search optimization (MCSO) is proposed. The MCSO achieved the 0.0714 MW of network loss with the optimal integration of distributed generation and is comparable to the well-established optimization algorithms available in literature. …”
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Cutting-edge approaches to specific energy prediction in TBM disc cutters: Integrating COSSA-RF model with three interpretative techniques by Jian Zhou, Zijian Liu, Chuanqi Li, Kun Du, Haiqing Yang

“…Therefore, in this paper, the sparrow search algorithm (SSA), combined with six chaotic mapping strategies, is utilized to optimize the random forest (RF) model for predicting SE, referred to as the COSSA-RF prediction models. …”
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Dynamic path planning of UAV with least inflection point based on adaptive neighborhood A* algorithm and multi-strategy fusion by Longyan Xu, Mao Xi, Ren Gao, Ziheng Ye, Zaihan He

“…In addition, the performance is compared with several advanced algorithms in different environments, and the MSF-MTPO algorithm has the lowest path cost in different complex scenarios, which proves the effectiveness and stability of MSF-MTPO in UAV 3D path planning.…”
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Fast Search Using <i>k</i>-<i>d</i> Trees with Fine Search for Spectral Data Identification by YoungJae Son, Tiejun Chen, Sung-June Baek

“…To address this issue, we propose a novel fast search algorithm that substantially reduces computational demands compared to existing methods. …”
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Optimizing Autonomous Multi-UAV Path Planning for Inspection Missions: A Comparative Study of Genetic and Stochastic Hill Climbing Algorithms by Faten Aljalaud, Yousef Alohali

“…This paper introduces the first application of the Genetic Algorithm (GA) and Hill Climbing (HC) to multi-UAV inspection of indoor pipelines, providing a unique comparative analysis. …”
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Exploring genomic feature selection: A comparative analysis of GWAS and machine learning algorithms in a large‐scale soybean dataset by Hawlader A. Al‐Mamun, Monica F. Danilevicz, Jacob I. Marsh, Cedric Gondro, David Edwards

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GBSS:researches on group-based semantic search by CHEN Hai-tao, GONG Zheng-hu, HUANG Zun-guo

“…A group-based semantic search method-GBSS was presented.With regard to architecture,GBSS introduced a hybrid architecture in which the storage and search of raw data was based on DHT network,but the storage and search of meta-data was based on unstructured P2P network.With regard to search algorithm,GBSS presented a file grouping method without users’ description and constructs friend relations between nodes based on search interests and sharing files.The design idea came from some conclusions of P2P researches and complex network researches.The forwarding of user requests came use of friend relations in search process,which integrated effective caching strategy.The simulation tests prove that the GBSS algorithm is efficient,stable,and the performance improved times compared with traditional algorithms.…”
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GBSS:researches on group-based semantic search by CHEN Hai-tao, GONG Zheng-hu, HUANG Zun-guo

“…A group-based semantic search method-GBSS was presented.With regard to architecture,GBSS introduced a hybrid architecture in which the storage and search of raw data was based on DHT network,but the storage and search of meta-data was based on unstructured P2P network.With regard to search algorithm,GBSS presented a file grouping method without users’ description and constructs friend relations between nodes based on search interests and sharing files.The design idea came from some conclusions of P2P researches and complex network researches.The forwarding of user requests came use of friend relations in search process,which integrated effective caching strategy.The simulation tests prove that the GBSS algorithm is efficient,stable,and the performance improved times compared with traditional algorithms.…”
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Enhancing SR-Tree for Nearest Neighbor Search by Kayumov Abduaziz, Shincheol Lee, Ji Sun Shin

“…Nearest neighbor search, also known as k-nearest neighbors (kNN), has become one of the essential backbones in machine learning and data mining tasks, particularly in multidimensional dynamic and evolving data environments. …”
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Aplikasi belajar tajwid menggunakan binary search by Anita Andriani, Arbiati Faizah, Indana Lazulfa, Istiqomah Istiqomah

“…Therefore, the aim of this study is to construct tajweed learning application based on website and applied binary search algorithm for better result. Binary search is a search algorithm that works by finding the position of elements in a sorted array and comparing their values. …”
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Hybrid Feature Selection and Classifying Stages through Electrocardiogram (ECG) Signal for Heart Disease Prediction by Babu Kumar, Radhakrishnan Soundararajan, Kanimozhi Natesan, Roobini Maridhas Santhi

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