Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization by Jomana Yousef Khaseeb, Arabi Keshk, Anas Youssef

Subjects: “…swarm intelligence…”
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Multi-Objective Dynamic Path Planning with Multi-Agent Deep Reinforcement Learning by Mengxue Tao, Qiang Li, Junxi Yu

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Adaptive optimal control of prosumer energy storage system with renewable energy sources by D. V. Antonenkov, V. Z. Manusov, P. V. Matrenin, V. R. Kiushkina

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UAV swarms: research, challenges, and future directions by Yunes Alqudsi, Murat Makaraci

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Balanced dung beetle optimization algorithm based on parameter substitution and escape strategy by Chen-Xu Tian, Yu-Xuan Li

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Prediction of cold region dew volume based on an ECOA-BiTCN-BiLSTM hybrid model by Yi Zhang, Pengtao Liu, Yingying Xu, Meng Zhang

Subjects: “…Swarm intelligence optimization algorithm…”
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A Method for Detecting Overlapping Protein Complexes Based on an Adaptive Improved FCM Clustering Algorithm by Caixia Wang, Rongquan Wang, Kaiying Jiang

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Firefly Algorithm for Cardinality Constrained Mean-Variance Portfolio Optimization Problem with Entropy Diversity Constraint by Nebojsa Bacanin, Milan Tuba

“…This is especially true for swarm intelligence algorithms which represent the newer branch of nature-inspired algorithms. …”
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GPS Position Prediction Method Based on Chaotic Map-Based Flower Pollination Algorithm by Wanjun Yang, Zengwu Sun

“…It has very important research significance. Using swarm intelligence optimization algorithm to predict geographic location has important research strategies. …”
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Improved Bat Algorithm Applied to Multilevel Image Thresholding by Adis Alihodzic, Milan Tuba

“…In this paper, we adjusted one of the latest swarm intelligence algorithms, the bat algorithm, for the multilevel image thresholding problem. …”
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Improved feature reduction framework for sign language recognition using autoencoders and adaptive Grey Wolf Optimization by Rajeev Goel, Sandhya Bansal, Kavita Gupta

“…Furthermore, a comparison between AEGWO-Net with other existing swarm intelligence techniques is also made to demonstrate its superiority.…”
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Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy. by Xiaohua Zeng, Changzhou Liang, Qian Yang, Fei Wang, Jieping Cai

“…PSO-LSTM model leveraging PSO's efficient swarm intelligence and strong optimization capabilities is proposed in this article. …”
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A Fusion Multiobjective Empire Split Algorithm by Liang Liang

“…In the last two decades, swarm intelligence optimization algorithms have been widely studied and applied to multiobjective optimization problems. …”
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Scalable Clustering of High-Dimensional Data Technique Using SPCM with Ant Colony Optimization Intelligence by Thenmozhi Srinivasan, Balasubramanie Palanisamy

“…Though this is efficient clustering, it is checked for optimization using ant colony algorithm with swarm intelligence. Thus the scalable clustering technique is obtained and the evaluation results are checked with synthetic datasets.…”
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Truss Structure Optimization Based on Improved Chicken Swarm Optimization Algorithm by Yancang Li, Shiwen Wang, Muxuan Han

“…The chicken swarm optimization is a novel swarm intelligence algorithm. In the basic chicken swarm optimization algorithm, the concept of combining chaos strategy and reverse learning strategy was introduced in the initialization to ensure the global search ability. …”
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Structured Clanning-Based Ensemble Optimization Algorithm: A Novel Approach for Solving Complex Numerical Problems by Avinash Sharma, Rajesh Kumar, Akash Saxena, B. K. Panigrahi

“…In this paper, a novel swarm intelligence-based ensemble metaheuristic optimization algorithm, called Structured Clanning-based Ensemble Optimization, is proposed for solving complex numerical optimization problems. …”
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EC-Structure: Establishing Consumption Structure through Mining E-Commerce Data to Discover Consumption Upgrade by Lin Guo, Dongliang Zhang

“…The authors of this paper combine the consumption structure analysis method and data processing technology using data from an e-commerce platform to extract the consumption structure of cities, compare the structural differences between different periods, and then discover consumption upgrading according to swarm intelligence. The experiments prove the efficacy of the algorithm proposed in this paper compared to other similar algorithms using several different datasets, which illustrates the algorithm’s efficacy and stable performance in consumption structure analysis.…”
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Investigation on the Inversion of the Atmospheric Duct Using the Artificial Bee Colony Algorithm Based on Opposition-Based Learning by Chao Yang, Jian-Ke Zhang, Li-Xin Guo

“…The artificial bee colony (ABC) algorithm is a recently introduced optimization method in the research field of swarm intelligence. This paper presents an improved ABC algorithm named as OGABC based on opposition-based learning (OBL) and global best search equation to overcome the shortcomings of the slow convergence rate and sinking into local optima in the process of inversion of atmospheric duct. …”
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Decentralized and autonomous behavior decision-making for UAV cluster by HU Weijun, ZHANG Weijie, YIN Wei, XIONG Jingyi

“…Hence, this paper studies small fixed wings and establishes the decentralized behavior decision-making model for a UAV cluster that has communication limitations and scale ceiling effects. The idea of swarm intelligence is combined with the decoupling multi-agent deep deterministic strategy gradient (DE-MADDPG) for the constructed model to do adaptive learning. …”
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Bioinspired Blockchain Framework for Secure and Scalable Wireless Sensor Network Integration in Fog–Cloud Ecosystems by Abdul Rehman, Omar Alharbi

“…In this work, we propose a bioinspired blockchain framework aimed at addressing those challenges through the emulation of biological immune adaptation mechanisms, such as the self-recovery of swarm intelligence. It integrates lightweight blockchain technology with bioinspired algorithms, including an AIS for anomaly detection and a Proof of Adaptive Immunity Consensus mechanism for secure resource-efficient blockchain validation. …”
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