A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm by Jie Zhao, Minhua Zhu, Ling Xia, Yifeng Fan, Feng Liu

“…This study introduces a hybrid algorithm that combines a Pattern Search Algorithm with Sequential Quadratic Programming (PSA-SQP) to enhance shimming performance. …”
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The use of pretrained neural networks for solving the problem of reverse searching of X-ray images of prohibited items and substances by A. K. Volkov, L. V. Mironova, S. E. Potapova

“…In order to test the proposed approach, a training dataset, including 4,635 images of individual items and substances that may be encountered in baggage and passenger hand luggage, was generated. A comparative analysis of image indexing and image search under different algorithms and feature number is presented. …”
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Configuration optimization for offset strip plate-fin heat exchanger using a method of PID-based search algorithm driving design indicators mathematical model by Zhe Xu, Zongling Yu, Xin Ning, Changyin Zhao, Fuquan Nie

“…A strategy of PID-based search algorithm (PSA) driving design indicators mathematical model was proposed for OSPFHX configuration optimization. …”
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Coverage optimization of wireless sensor network utilizing an improved CS with multi-strategies by Sen-Yu Yang, Chang-Feng Chen, Kai-Qing Zhou, Yun Ou

“…Based on this, this study proposes an improved Cuckoo Search algorithm with multi-strategies (ICS-MS), motivated by the ‘no free lunch’ theorem’s implication that no single optimization strategy universally dominates. …”
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Energy-Efficient Hybrid Adaptive Clustering for Dynamic MANETs by Kudret Yilmaz, Resul Kara, Ferzan Katircioglu

“…In the first stage, based on the Weighted Clustering Algorithm (WCA) for selecting optimal CHs, criteria such as node degree, neighborhood distance, power of battery and mobility are optimized using the Gravity Search Algorithm (GSA). …”
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An Iterative Method for Empirically-Based Q-Matrix Validation by Ragip Terzi, Jimmy de la Torre

“…In particular, an iterative procedure with a modified version of the sequential search algorithm is introduced. Simulation studies are conducted to compare the proposed method with existing parametric and nonparametric methods. …”
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The Volume-Based Pollution-Routing Problem with Time Windows: A Case Study by Bilal Bencharif, Mohamed Amine Beghoura, Emrah Demir

“…We propose a mathematical model and a probabilistic Tabu Search (TS) algorithm to solve the studied VPRPTW. …”
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iSeqSearch: incremental protein search for iBlast/iMMSeqs2/iDiamond by Hyunwoo Yoo, Mohammadsaleh Refahi, Robi Polikar, Bahrad A. Sokhansanj, James R. Brown, Gail L. Rosen

“…Incremental database search can address this problem. Methods One recently introduced incremental search method is iBlast, which wraps the BLAST sequence search method with an algorithm to reuse previously processed data and thereby increase search efficiency. …”
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Sidelobe Level Suppression in Linear and Planar Phased Arrays Using Grey Wolf Optimization With Local Search Refinements by Muhammad Athallah Adriansyah, Aditya Inzani Wahdiyat, Ismi Rosyiana Fitri, Noor Asniza Murad, Catur Apriono

“…Also, this suppression comes with trade-offs, including a widened first null beamwidth from 18.34° to 19.78° for the 32-element arrays and from 6.47° to 9.71° for the 100-element arrays in both LAA and their corresponding PAA compared to the conventional algorithm, along with a marginal decrease of 0.5-1 dB in directivity observed in electromagnetic simulations. …”
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Bio-inspired swarm intelligence for enhanced real-time aerial tracking: integrating whale optimization and grey wolf optimizer algorithms by GaoFeng Han

“…Abstract To address the decline in real-time tracking performance of moving targets in multi-UAV systems caused by uneven search coverage and low cooperation efficiency, the WGWO (Whale-Grey Wolf Optimization) model is proposed. …”
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Composite Improved Algorithm Based on Jellyfish, Particle Swarm and Genetics for UAV Path Planning in Complex Urban Terrain by Qi Wang, Wenjun Yi

“…In order to enhance the safety, path smoothness, and shortest path acquisition of UAVs undertaking tasks in complex urban multi-obstacle environments, this paper proposes an innovative composite improvement algorithm that integrates the advantages of the jellyfish search algorithm and the particle swarm algorithm. …”
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Novel CP model and CP-assisted meta-heuristic algorithm for flexible job shop scheduling with preventive maintenance by Lixin Zhao, Leilei Meng, Weiyao Cheng, Yaping Ren, Biao Zhang, Hongyan Sang

“…Then, we design a CP-assisted meta-heuristic framework, and develop a CP-assisted Q-learning-based collaborative variable neighborhood search algorithm (CVNSQ-CP) as a representative example to effectively address large-scale instances. …”
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Nonlinear Path Optimization Algorithm for Mining Trucks Based on Two-Layer Trust Region Strategy by PENG Fan, HU Yunqing, LIU Yong, DENG Mukun, LUO Yu, LIU Xibing

“…Compared with major algorithms popularized in academic studies, such as LIOM, DL-IAPS, and OBCA, the average solution time of this algorithm was at least 2.75% shorter in the shovel loading operation scenario. …”
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Maximum likelihood DOA estimation based on improved ant colony optimization algorithm by JIAO Yameng, LI Wenping, WU Yue, CUI Lin

“…Secondly, the optimization method of ant colony is conducted by combining global cross-neighborhood search and local search of Gaussian kernel function to expand the algorithm search space and accelerate the convergence speed. …”
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Null Steering of Adaptive Beamforming Using Linear Constraint Minimum Variance Assisted by Particle Swarm Optimization, Dynamic Mutated Artificial Immune System, and Gravitationa... by Soodabeh Darzi, Tiong Sieh Kiong, Mohammad Tariqul Islam, Mahamod Ismail, Salehin Kibria, Balasem Salem

“…In this paper, particle swarm optimization (PSO), dynamic mutated artificial immune system (DM-AIS), and gravitational search algorithm (GSA) are incorporated into the existing LCMV technique in order to improve the weights of LCMV. …”
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Optimal Sizing and Deployment of Renewable Energy Generators in Practical Transmission Network Using Grid-Oriented Multiobjective Harmony Search Algorithm for Loss Reduction and Vo... by Pramod Kumar, Nagendra Kumar Swarnkar, Om Prakash Mahela, Baseem Khan, Divya Anand, Aman Singh, Juan Luis Vidal Mazon, Fahd S. Alharithi

“…This paper presents grid-oriented multiobjective harmony search algorithm (GOMOHSA) to incorporate the multiple grid parameters for minimization of the active power loss, reactive power loss, and total voltage deviations (TVD) in a part of practical transmission network of Rajasthan Rajya Vidyut Prasaran Nigam Limited (RVPN) in southern parts of Rajasthan state of India. …”
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Research on vehicle scheduling for forest fires in the northern Greater Khingan Mountains by Jie Zhang, Junnan He, Shihao Ren, Pei Zhou, Jun Guo, Mingyue Song

“…Through simulation experiments, the proposed Improved Genetic Algorithm (IGA) achieved an average rescue time reduction of 8.5% compared to conventional Genetic Algorithm (GA) and 3.5% compared to Improved Artificial Bee Colony (IABC) algorithm, with an average solution time of 9.4 ms.…”
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Non-uniform Intelligent Down-sampling of Digital Curves for Efficient Compression by N Shylashree, Sachin Kumar

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A synergic quantum particle swarm optimisation for constrained combinatorial test generation by Xu Guo, Xiaoyu Song, Jian‐tao Zhou

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Two New Bio-Inspired Particle Swarm Optimisation Algorithms for Single-Objective Continuous Variable Problems Based on Eavesdropping and Altruistic Animal Behaviours by Fevzi Tugrul Varna, Phil Husbands

“…This paper presents two novel bio-inspired particle swarm optimisation (PSO) variants, namely biased eavesdropping PSO (BEPSO) and altruistic heterogeneous PSO (AHPSO). These algorithms are inspired by types of group behaviour found in nature that have not previously been exploited in search algorithms. …”
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