An effective feature selection approach based on hybrid Grey Wolf Optimizer and Genetic Algorithm for hyperspectral image by Yiqun Shang, Minrui Zheng, Jiayang Li, Xinqi Zheng

“…To address these challenges, we propose GWOGA, a novel hybrid algorithm that combines Grey Wolf Optimizer (GWO) and Genetic Algorithm (GA), aiming to achieve an effective balance between exploration and exploitation. …”
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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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A Hybrid Genetic Algorithm and Proximal Policy Optimization System for Efficient Multi-Agent Task Allocation by Zimo Zhu, Chuanqiang Yu, Junti Wang

“…The genetic component promotes broader policy exploration beyond local optima, while the proximal policy optimization ensures update stability and sample efficiency. …”
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An improved fluid flow algorithm for hydraulic fracturing: Optimizing domain volume and crack pressure update strategies by Wei Zhang, Jing Bi, Yu Zhao, Yongfa Zhang, Chaolin Wang, Yang Pan

“…This paper proposes an improved fluid flow algorithm, aiming to enhance the computational efficiency of hydraulic fracturing simulations while ensuring computational accuracy. …”
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Design Optimization of Secondary Element of Single-Sided Linear Induction Motors Using a Genetic Algorithm by V. A. Prakht, V. V. Goman, A. S. Paramonov

“…The optimality criterion included maximizing the power factor and efficiency, as well as the rigidity of the mechanical characteristic while ensuring a starting traction force of at least a set value. …”
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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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Joint Optimization of Route and Speed for Methanol Dual-Fuel Powered Ships Based on Improved Genetic Algorithm by Zhao Li, Hao Zhang, Jinfeng Zhang, Bo Wu

“…Additionally, comparative experiments reveal that the designed algorithm outperforms both the GA and the Linear Interactive and General Optimizer (LINGO) solver for identifying optimal route and speed solutions. …”
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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

“…We discuss representative methods commonly employed in nanophotonic design, including various meta-heuristic algorithms such as trajectory-based, evolutionary, and swarm-based approaches, in addition to adjoint-based optimization. …”
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PRINCIPLES FOR DEVELOPMENT OF OPTIMIZATION ALGORITHM FOR OPERATIONAL RELIABILITY OF DISTRIBUTIVE SYSTEMS WITH DUE ACCOUNT OF PROBABILITY IMPACT FACTORS by O. E. Gudkova, I. M Savchenko, O. A. Grebenchikov, A. A. Sergeev

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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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A Three-Stage Optimization Algorithm for the Stochastic Parallel Machine Scheduling Problem with Adjustable Production Rates by Rui Zhang

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Joint optimization algorithm for 6G network task offloading and fine-grained slice resource scheduling by WANG Ye, WANG Yifei, CHEN Kang, ZHU Xiaorong, TONG En, XU Yufei

“…The simulation results show that, compared with the traditional algorithm, the proposed algorithm can reduce the computing cost while meeting the business needs of users. …”
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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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Joint optimization algorithm for 6G network task offloading and fine-grained slice resource scheduling by WANG Ye, WANG Yifei, CHEN Kang, ZHU Xiaorong, TONG En, XU Yufei

“…The simulation results show that, compared with the traditional algorithm, the proposed algorithm can reduce the computing cost while meeting the business needs of users. …”
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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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Multi-Objective Optimization of Steel Pipe Pile Cofferdam Construction Based on Improved Sparrow Search Algorithm by Zaolong Jiang, Chengfang Yang, Hongbo Yue

“…The model aims to minimize duration and cost while maximizing quality. Additionally, it proposes an improved sparrow search algorithm (ISSA) to solve this problem. …”
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Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm by Changjiang Zheng, Kai Sun, Yuhang Gu, Jinxing Shen, Muqing Du

“…An improved particle swarm optimization algorithm (IPSO) is introduced to address the model and is proven to retain a fast convergence rate and achieve outstanding solving accuracy through the experimental study. …”
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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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Optimizing water purification in double slope solar stills using abc algorithm and machine learning techniques by Mcluret, S. Joe Patrick Gnanaraj

“…The Taguchi method refines experimental design, while machine learning and the Artificial Bee Colony (ABC) algorithm optimize efficiency. …”
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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

“…This paper proposes the Whale-Goshawk Optimization Algorithm (WGO), which combines the Whale Optimization Algorithm (WOA) and Northern Goshawk Optimization Algorithm (NGO). …”
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