Multi-objective: hybrid particle swarm optimization with firefly algorithm for feature selection with Leaky ReLU by Ashish Kumar Singh, Anoj Kumar

“…This study proposes a novel optimization algorithm, LR-GPSOFA, designed to improve feature selection by enhancing computational efficiency and classification accuracy. …”
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Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms by Norhan Khallaf, Osama Abd-El Rouf, Abeer D. Algarni, Mohy Hadhoud, Ahmed Kafafy

“…Despite this trade-off, the algorithm’s ability to minimize fleet size while fully utilizing vehicle capacity makes it the optimal choice in scenarios where these factors are critical. …”
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Critical sliding surface location method for anisotropic slope based on anisotropic yield criterion and optimization algorithm by Zhenfu Zhang, Yongjun Zhang, Sijia Liu, Mingzhong Gao, Fei Liu, Jintao Wang

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Optimal design of tilt integral derivative controller for a boost converter based on swarm-inspired algorithms by Adnan Mukhtar, Pyare Mohan Tiwari, Saud Alotaibi, Thabet Alzahrani, Borchala Namomsa, Mahrous Ahmed

“…The TID controller is designed with the aid of swarm inspired algorithms, particularly Artificial Bee Colony (ABC) and Salp Swarm Optimization (SSO). …”
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Multi-Objective Optimization Design of Ship Propulsion Shafting Based on Response Surface Methodology and Genetic Algorithm by ZHANG Cong, SHU Bingnan, ZHANG Jiangtao, JIN Yong

“…In order to reduce the power loss of the transmission equipment, enhance the transmission efficiency of the propulsion shafting, and improve the vibration performance of the shafting, a multi-objective optimization design of a ship shafting experimental platform is performed based on the response surface model and genetic algorithm. …”
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ACIVY: An Enhanced IVY Optimization Algorithm with Adaptive Cross Strategies for Complex Engineering Design and UAV Navigation by Heming Jia, Mahmoud Abdel-salam, Gang Hu

“…While the original Ivy Optimization Algorithm (IVYA) demonstrates a competitive performance, it suffers from limited inter-individual information exchange, inadequate directional guidance for local optima escape, and abrupt exploration–exploitation transitions. …”
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Using crafted features and polar bear optimization algorithm for short-term electric load forecast system by Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic

“…PBO was compared with commonly used optimization algorithms like particle swarm optimization (PSO) and genetic algorithm (GA). …”
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OiSAM-FGO: an efficient factor graph optimization algorithm for GNSS/INS integrated navigation system by Zhichao Yang, Xiangjie Ding, Ying Yang, Qi Wang

“…Abstract In recent years, the Factor Graph Optimization (FGO) algorithm has gained a great attention in the field of integrated navigation owing to its better positioning performance than the traditional filter-based approaches. …”
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A Self-Adaptive Parameter Optimization Algorithm in a Real-Time Parallel Image Processing System by Ge Li, Xuehe Zhang, Jie Zhao, Hongli Zhang, Jianwei Ye, Weizhe Zhang

“…Aiming at the stalemate that precision, speed, robustness, and other parameters constrain each other in the parallel processed vision servo system, this paper proposed an adaptive load capacity balance strategy on the servo parameters optimization algorithm (ALBPO) to improve the computing precision and to achieve high detection ratio while not reducing the servo circle. …”
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Capacity Optimization Method for Photovoltaic Hydrogen Production Systems Based on Multi-Objective Particle Swarm Algorithm by Haotian LU, Shaopeng LIU, Kai WANG

“…[Method] This paper proposed a capacity optimization method for photovoltaic hydrogen production systems based on a multi-objective particle swarm algorithm. …”
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Optimization model of electricity metering management based on MOPSO by Sheng Li, Xiaodan Zhou

“…The study uses Schaffer and Griewank functions to test its performance. The optimized algorithm performed well on both Schaffer and Griewank functions, indicating that the algorithm still had high computational efficiency while ensuring computational accuracy. …”
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Differences in emotional expression among college students: a study on integrating psychometric methods and algorithm optimization by Xiaozhu Chen

“…In order to improve the precision of data analysis, random forests, support vector machines, and neural network machine learning algorithms were applied, and the variance analysis was used to calculate and compare the emotional differences of different genders and academic backgrounds in different grades. …”
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Classification Based on Brain Storm Optimization With Feature Selection by Yu Xue, Yan Zhao, Adam Slowik

“…Moreover, the optimal weight parameters corresponding to the different structures are also searched by the BSO algorithm while searching the optimal feature subset. …”
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Optimal Reactive Power Generation for Radial Distribution Systems Using a Highly Effective Proposed Algorithm by Le Chi Kien, Thuan Thanh Nguyen, Bach Hoang Dinh, Thang Trung Nguyen

“…It is emphasized that the proposed method can find the global optimal solutions for all study cases while SFS was still implementing search process nearby or far away from the solutions. …”
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Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic Algorithm by Chukwuka G. Monyei, Aderemi O. Adewumi, Michael O. Obolo

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EVALUATION OF PARTICLE SWARM ALGORITHM MODIFICATIONS ON SUPPORT VECTOR MACHINE HYPERPARAMETER OPTIMIZATION TUNING FOR RAIN PREDICTION by Aina Latifa Riyana Putri, Joko Riyono, Christina Eni Pujiastuti, Supriyadi

“… The Particle Swarm Optimization (PSO) algorithm, though simple and effective, faces challenges like premature convergence and local optima entrapment. …”
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Optimizing energy use efficiency and environmental performance in cotton and canola production using the Imperialist Competitive Algorithm by Mousa Mirmoradi, Mohammad Gholami Parashkoohi, Hamed Afshari, Ahmad Mohammadi

“…This study focuses on optimizing energy efficiency and environmental performance in the production of cotton and canola through the application of the Imperialist Competitive Algorithm (ICA). …”
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Optimizing Planar Antenna Arrays Using Genetic Algorithms for Enhanced Radar Performance in Direction of Arrival Estimation by Methq Kadhum Alnoori, Malik Jasim Farhan, Enas F. Rawashdeh

“…For practical setups, an antenna size configuration of M = 8, N = 3 with 85 snapshots can achieve an optimal tradeoff, reducing the computational cost by 35% compared to conventional methods while maintaining high accuracy. …”
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WGO: a similarly encoded whale-goshawk optimization algorithm for uncertain cloud manufacturing service composition by Kezhou Chen, Tao Wang, Huimin Zhuo, Lianglun Cheng

“…A novel similar integer coding method, incorporating spatial feature information, addresses the limitations of traditional integer coding, while a whale-optimized prey generation strategy improves NGO’s global optimization efficiency. …”
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Optimization of a Dense Mapping Algorithm with Enhanced Point-Line Features for Open-Pit Mining Environments by Yuanbin Xiao, Bing Li, Wubin Xu, Weixin Zhou, Bo Xu, Hanwen Zhang

“…The method integrates dense point cloud mapping and an octree structure, optimizing both navigation and path planning while reducing storage demands and improving query efficiency. …”
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