INVERSION OF PARAMETERS FOR COMPOSITE INTERLAYER COHESIVE ZONE MODEL BY USING ARTIFICIAL BEE COLONY ALGORITHM by RAO YuWen, LIN RenBang, YANG YanZhi, YAN Gang

“…Numerical and experimental results have demonstrated that,ABC algorithm has better convergence and optimization ability than genetic（ GA） algorithm and particle swarm optimization（ PSO） algorithm; it has certain anti-noise capability that can optimally obtain the CZM parameters under different levels of measurement noise,and the simulated load-displacement data with the inversely identified parameters match the actual test ones well.…”
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A New Damage Detection Method: Big Bang-Big Crunch (BB-BC) Algorithm by Zahra Tabrizian, Ehsan Afshari, Gholamreza Ghodrati Amiri, Morteza Hossein Ali Beigy, Seyed Mohammad Pourhoseini Nejad

“…A great unbraced frame with a lot of damaged element is considered to prove the ability of proposed method. More over BB-BC optimization method in damage detection is compared with particle swarm optimizer with passive congregation (PSOPC) algorithm. …”
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DEVELOPMENT OF HEALTH INSURANCE CLAIM PREDICTION METHOD BASED ON SUPPORT VECTOR MACHINE AND BAT ALGORITHM by Syaiful Anam, Abdi Negara Guci, Fery Widhiatmoko, Mila Kurniawaty, Komang Agus Arta Wijaya

“…BA has a faster convergence rate than other algorithms, for example Particle Swarm Optimization (PSO). …”
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Long-Term Maintenance Scheduling of Smart Distribution System through a PSO-TS Algorithm by Jianxue Wang, Jianming Lu, Zhaohong Bie, Shutang You, Xiaoyu Cao

“…A combined algorithm that consists of particle swarm optimization and tabu search is designed and applied to the optimization problem. …”
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Identification of Anomaly Detection in Power System State Estimation Based on Fuzzy C-Means Algorithm by Di Leng, Ziliang Qiu

“…On this basis, the power system state estimation model established by particle swarm optimization support vector machines is used to judge the operational state of the power system. …”
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Intelligent decision-making for mine airflow on demand based on the improved artificial bee colony algorithm by ZHANG Lang, LEI Shuang, LI Wei, LIU Yanqing

“…Experimental results showed that, compared with the Particle Swarm Optimization (PSO) algorithm, the ABC algorithm, the Gbest-guided artificial bee colony (GABC) algorithm, and artificial bee colony with generalized opposition-based learning (ABC-GOBL) algorithm, the improved ABC algorithm could solve the optimal solution of mine airflow on-demand control more quickly and stably, with an airflow control accuracy of up to 0.49 m3/s.…”
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Conformal Array Pattern Synthesis Using a Hybrid WARP/2LB-MOPSO Algorithm by Roghieh Karimzadeh Baee, Keyvan Forooraghi, Somayyeh Chamaani

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New Network Selection Algorithm Based on Cosine Similarity Distance and PSO in Heterogeneous Wireless Networks by Said Radouche, Cherkaoui Leghris

“…This work proposes an access network selection algorithm, based on cosine similarity distance, subjective weights using Fuzzy ANP, and objective weights using particle swarm optimization. …”
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Modified Hybrid PSO Algorithm for Efficient Control of the Matrix Converter-Fed Electrical Drive System by Ch. Amarendra, A. Pandian, Ch. Rami Reddy, Ch. Naga Sai Kalyan, Mohit Bajaj, Kareem M. AboRas, Daniel Eutyche Mbadjoun Wapet

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Back analysis of geomechanical parameters based on a data augmentation algorithm and machine learning technique by Hui Li, Weizhong Chen, Xianjun Tan

“…Subsequently, we harness the power of optimized particle swarm optimization (OPSO) integrated with support vector machine (SVM) to mine the intricate nonlinear relationships between input and output variables. …”
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Intra-Net Cognitive Radio Intelligent Utility Maximization using Adaptive PSO-Gradient Algorithm by Imran Ullah Khan

“…In this paper an adaptive model to enhanced cognitive radio utilization to be maximized is proposed, that is, Particle swarm optimization (PSO) in combination with Gradient-method and intends to maximize the utility of CR. …”
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Improving lifetime of WSN using modified Moth Flame Optimization by Methaq Mahdi Ali, Razieh Asgarnezhad

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Internet of Things Enabled Intelligent Automation for Smart Home with the Integration of PSO Algorithm and PID Controller by Rajesh Singh, Anita Gehlot, Piyush Kuchhal, Sushabhan Choudhury, Shaik Vaseem Akram, Neeraj Priyadarshi, Baseem Khan

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Recent Efficient Iterative Algorithms on Cognitive Radio Cooperative Spectrum Sensing to Improve Reliability and Performance by Mohsen Akbari, Ahmed Wasif Reza, Kamarul Ariffin Noordin, Kaharudin Dimyati, Mohsen Riahi Manesh, Mohammad Nour Hindia

“…In fact, all steps of genetic algorithm (GA), particle swarm optimization (PSO), and imperialistic competitive algorithm (ICA) will be well mentioned in detail and investigated on cognitive radio cooperative spectrum sensing (CRCSS) method. …”
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Unmanned Aerial Vehicles (UAV) Networking Algorithms: Communication, Control, and AI-Based Approaches by Mien L. Trinh, Dung T. Nguyen, Long Q. Dinh, Mui D. Nguyen, De Rosal Ignatius Moses Setiadi, Minh T. Nguyen

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Task Allocation and Path Planning Method for Unmanned Underwater Vehicles by Feng Liu, Wei Xu, Zhiwen Feng, Changdong Yu, Xiao Liang, Qun Su, Jian Gao

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NLP for computational insights into nutritional impacts on colorectal cancer care by Shengnan Gong, Xiaohong Jin, Yujie Guo, Jie Yu

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Adhesion control research for freight trains based on an improved sliding mode extremum seeking algorithm by CHENG Xiang, TANG Runzhong, HUANG Gang, HUANG Yishan

“…A resistance parameters estimation method based on particle swarm algorithm (PSO) was proposed to deal with the absence of running resistance due to inaccessibility for measurement. …”
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Cooperative Control and Intelligent Optimization for Air-Sea Heterogeneous Unmanned Systems by Can KE, Huifang CHEN, Lei XIE

“…Simulation results demonstrate that the air-sea heterogeneous unmanned system can achieve formation control while avoiding obstacles and reducing communication overhead, and the proposed algorithm has better convergence and global search ability than the traditional multi-objective quantum-behavior particle swarm optimization algorithm.…”
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Multiobjective Network Optimization for Soil Monitoring of the Loess Hilly Region in China by Dianfeng Liu, Yaolin Liu, Mingze Wang, Xiang Zhao

“…In this paper, we present a stochastic optimization design method for regional soil carbon and water content monitoring networks with a minimum sample size based on a modified particle swarm optimization algorithm equipped with multiobjective optimization technique. …”
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