Population Economic Transfer Function Model Based on Genetic Tabu Search Algorithm by Qian Wang

“…Aiming at the problem that the evaluation effect of the traditional analysis model of population economic transfer is not good, a population economic transfer function model based on the genetic tabu search algorithm is proposed. Firstly, the defects of the genetic algorithm are analyzed, and the tabu search algorithm is integrated into the genetic tabu search algorithm to obtain the genetic tabu search algorithm, which avoids the problems of premature convergence and low search efficiency. …”
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Search and Rescue Optimization Algorithm for Size Optimization of Truss Structures with Discrete Variables by A. Shabani, B. Asgarian, M. Salido

“…The proposed algorithms namely search and rescue optimization algorithm (SAR), imitates the exploration behavior of humans during search and rescue operations. …”
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Music genre classification with parallel convolutional neural networks and capuchin search algorithm by Yuxin Zhang, Teng Li

“…To do this, each model’s hyperparameters are generated using the capuchin search algorithm (CapSA). Preprocessing the original signals, feature description utilizing DWT, MFCC, and STFT signal matrices, CNN model optimization to extract signal features, and music genre identification based on combined features make up the four main components of the technique. …”
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Hybridized Symbiotic Organism Search Algorithm for the Optimal Operation of Directional Overcurrent Relays by Muhammad Sulaiman, Ashfaq Ahmad, Asfandyar Khan, Shakoor Muhammad

“…We have applied SASOS to solve the problem and the obtained results are compared with other algorithms available in the literature.…”
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BiRch:a bidirectional search algorithm for k-step reachability queries by Jun-feng ZHOU, Wei CHEN, Chun-ping FEI, Zi-yang CHEN

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Spectrum allocation based on quantum cuckoo search algorithm in cognitive radio network by Xianping WANG, Hui CAO

“…There are discrete optimization problems for spectrum allocation in cognitive wireless network.A novel combinatorial optimization algorithm called quantum cuckoo search algorithm （QCSA）was proposed,which was based on quantum computing and cuckoo search algorithm.The quantum nest was used to represent multiple dimensionality solution for the optimization problem,and the global optimal position was found according to Lévy flights and quantum mutation strategy.In additional,some classical benchmark functions were employed to prove the effectiveness of QCSA,and a spectrum allocation method based on QCSA was proposed for cognitive network.Compared with classical spectrum allocation methods by using different network utility functions,the global optimal solution can be searched so fast.Simulation results show that the proposed spectrum allocation method based on QCSA is better than other traditional methods under different network utility functions.…”
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Feature selection algorithm based on improved particle swarm joint taboo search by Zhen ZHANG, Peng WEI, Yufeng LI, Julong LAN, Ping XU, Bo CHEN

“…To solve the problem of high data feature dimensionality in intrusion detection, a feature selection algorithm based on improved particle swarm optimization taboo search (IPSO-TS) was proposed. …”
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Spectrum allocation based on quantum cuckoo search algorithm in cognitive radio network by Xianping WANG, Hui CAO

“…There are discrete optimization problems for spectrum allocation in cognitive wireless network.A novel combinatorial optimization algorithm called quantum cuckoo search algorithm （QCSA）was proposed,which was based on quantum computing and cuckoo search algorithm.The quantum nest was used to represent multiple dimensionality solution for the optimization problem,and the global optimal position was found according to Lévy flights and quantum mutation strategy.In additional,some classical benchmark functions were employed to prove the effectiveness of QCSA,and a spectrum allocation method based on QCSA was proposed for cognitive network.Compared with classical spectrum allocation methods by using different network utility functions,the global optimal solution can be searched so fast.Simulation results show that the proposed spectrum allocation method based on QCSA is better than other traditional methods under different network utility functions.…”
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Image segmentation with a multilevel threshold using backtracking search optimization algorithm by Hather Ibraheem Abed

“…The proposed multi-thresholds segmentation algorithm should be segmented  the raw  image into pieces, and compared with other algorithms results. …”
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Pattern Nulling of Linear Antenna Arrays Using Backtracking Search Optimization Algorithm by Kerim Guney, Ali Durmus

“…The results obtained by BSA are compared with the results of the following seventeen algorithms: particle swarm optimization (PSO), genetic algorithm (GA), modified touring ant colony algorithm (MTACO), quadratic programming method (QPM), bacterial foraging algorithm (BFA), bees algorithm (BA), clonal selection algorithm (CLONALG), plant growth simulation algorithm (PGSA), tabu search algorithm (TSA), memetic algorithm (MA), nondominated sorting GA-2 (NSGA-2), multiobjective differential evolution (MODE), decomposition with differential evolution (MOEA/D-DE), comprehensive learning PSO (CLPSO), harmony search algorithm (HSA), seeker optimization algorithm (SOA), and mean variance mapping optimization (MVMO). …”
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Multi scenario chaotic transient search optimization algorithm for global optimization technique by Ibrahim Mohamed Diaaeldin, Hany M. Hasanien, Mohammed H. Qais, Saad Alghuwainem, Othman A. M. Omar

“…In this article, a metaheuristic, physics-based algorithm called chaotic transient search optimization (CTSO) algorithm is developed to solve 23 benchmark functions, including uni- and multi-modal optimization functions. …”
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Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search by Wanbin Wang, Lu Qian, Yun Zhou

“…Finally, the design results of our algorithm are compared with the MA-GCS. Experimental results demonstrate that the MA-IGCS exhibits superior search capability and generates more favorable design results than the MA-GCS.…”
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Moldina: a fast and accurate search algorithm for simultaneous docking of multiple ligands by Radek Halfar, Jiří Damborský, Sérgio M. Marques, Jan Martinovič

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Hybrid Crow Search Algorithm–LSTM System for Enhanced Stock Price Forecasting by Chang-Long Jiang, Yi-Kuang Tsai, Zhen-En Shao, Shih-Hsiung Lee, Cheng-Che Hsueh, Ko-Wei Huang

“…This study presents a hybrid crow search algorithm–long short-term memory (CSLSTM) system for forecasting stock prices. …”
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A Simplified Fish School Search Algorithm for Continuous Single-Objective Optimization by Elliackin Figueiredo, Clodomir Santana, Hugo Valadares Siqueira, Mariana Macedo, Attilio Converti, Anu Gokhale, Carmelo Bastos-Filho

“…The Fish School Search (FSS) algorithm is a metaheuristic known for its distinctive exploration and exploitation operators and cumulative success representation approach. …”
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Crow Search Algorithm for MEMS Gyroscope Temperature Drift Signal and Processing for Denoising by Xichen Wang, Huiliang Cao, Xiaomin Duan

“…To solve the problem of micro-electro-mechanical system (MEMS) gyroscope noise, this paper presents a variational mode decomposition (VMD) method based on crow search algorithm. First, the signal was decomposed by variational mode decomposition for optimization of crow search algorithm (CSA-VMD) method. …”
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A nonrevisiting genetic algorithm based on multi-region guided search strategy by Qijun Wang, Chunxin Sang, Haiping Ma, Chao Wang

“…Abstract Recently, nonrevisiting genetic algorithms have demonstrated superior capabilities compared with classic genetic algorithms and other single-objective evolutionary algorithms. …”
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Improved Bald Eagle Search Optimization Algorithm for the Inverse Kinematics of Robotic Manipulators by Guojun Zhao, Bo Tao, Du Jiang, Juntong Yun, Hanwen Fan

“…To address this challenge, the bald eagle search optimization algorithm is introduced. This algorithm combines the advantages of evolutionary and swarm techniques, making it more effective at solving nonlinear problems and improving search efficiency. …”
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MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics by Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem

“…MOBCSA utilizes an S-shaped transfer function for transforming the algorithm’s search space from a continuous to a binary search space. …”
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Improving Search Accuracy in Large-Scale Biased Multiobjective Optimization Through Local Search by Feng Yin, Bin Cao

“…To address this issue, we propose a three-particle-based local search method (TPS) for multiobjective evolutionary algorithms (MOEAs). …”
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