Showing 1 - 16 results of 16 for search 'SCA algorithm’s algorithm', query time: 0.06s Refine Results
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    A Fusion Multiobjective Empire Split Algorithm by Liang Liang

    Published 2020-01-01
    “…Imperialist competitive algorithm (ICA) and sine cosine algorithm (SCA) are two potential algorithms for handling single-objective optimization problems, but the research of them in multiobjective optimization is scarce. …”
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    Article
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    A hybrid algorithm based on improved sine cosine algorithm and population incremental learning and its application to economic load dispatch in power systems by Aoshuang Ye, Yichao Li, Dong Xu, Zhiwei Wu, Guohua Chen, Junjie Tang, Zhiyuan Zhu

    Published 2024-12-01
    “…The Sine Cosine Algorithm (SCA) excels in local search capabilities for solving real optimization problems. …”
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    An interval Type-2 fuzzy Fractional-Order PD-PI controller for frequency stabilization of islanded microgrids optimized with CO algorithm by Siavash Shirali, Saeed Zolfaghari Moghaddam, Mortaza Aliasghary

    Published 2025-03-01
    “…Additionally, optimizing the controller parameters in dynamic systems is another critical issue, where traditional algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), and sine cosine algorithm (SCA) often struggle with premature convergence and suboptimal solutions. …”
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    Article
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    Study of the stability of a high-power PV conversion chain for isolated site supply by Akoro Edjadessamam, Bokovi Yao, Agbessi Akueté Pierre, Ateyo Gnakou Mazama

    Published 2025-01-01
    “…To achieve this, a MPPT method based on a hybrid Artificial Neural Network (ANN)-Synergistic Control Algorithm (SCA) already developed in the literature will be used to find the system's maximum power point. …”
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    Article
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    Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model by Suvashisa Dash, Mohammed Siddique, Satyasis Mishra, Demissie J. Gelmecha, Sunita Satapathy, Davinder Singh Rathee, Ram Sewak Singh

    Published 2024-01-01
    “…In this research, an approach based on an improved fuzzy factor fuzzy local information C means (IFF-FLICM) segmentation and hybrid modified harmony search and sine cosine algorithm (MHS-SCA) optimized extreme learning machine (ELM) is proposed for brain tumor detection and classification. …”
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    Article
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    Energy Efficiency Maximization with Optimal Beamforming in Secure MISO CRNs with SWIPT by Liang Xue, Yao Ma, Miao Zhang, Wanqiang Qin, Jin-Long Wang, Yazhou Wu

    Published 2021-01-01
    “…Numerical results validate the effectiveness and convergence of the proposed algorithm.…”
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    Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators by Ala Saleh Alluhaidan, Diaa Salama AbdElminaam, Taraggy M. Ghanim, Sahar A. El-Rahman, Ibrahim Shawky Farahat, Arar Al Tawil, Yasmin Alkady, Walaa H. Elashmawi

    Published 2025-02-01
    “…This study presents PV parameter estimation using the enhanced Sinh Cosh Optimizer (I_SCHO), incorporating trigonometric operators from the Sine Cosine Algorithm (SCA). This integration improves the algorithm’s ability to navigate complex search spaces, avoid local optima, and expedite convergence. …”
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    Satellite Attitude Control System Simulator by G.T. Conti, L.C.G. Souza

    Published 2008-01-01
    “…Future space missions will involve satellites with great autonomy and stringent pointing precision, requiring of the Attitude Control Systems (ACS) with better performance than before, which is function of the control algorithms implemented on board computers. The difficulties for developing experimental ACS test is to obtain zero gravity and torque free conditions similar to the SCA operate in space. …”
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    Joint transmit filter and sparse array design with transmit subaperturing FDA‐MIMO radar by Zihang Ding, Junwei Xie

    Published 2022-04-01
    “…However, the optimisation problem is non‐convex. A cycle iteration algorithm is proposed to obtain the optimal transmit filters and sparse array. …”
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    Game-Theory-Based Multi-Objective Optimization for Enhancing Environmental and Social Life Cycle Assessment in Steel–Concrete Composite Bridges by David Martínez-Muñoz, Jose V. Martí, Víctor Yepes

    Published 2025-01-01
    “…The optimization process considered four criteria simultaneously, using a discrete version of the SCA algorithm and a transfer function for discretization. …”
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    Energy-Efficient Aerial STAR-RIS-Aided Computing Offloading and Content Caching for Wireless Sensor Networks by Xiaoping Yang, Quanzeng Wang, Bin Yang, Xiaofang Cao

    Published 2025-01-01
    “…We propose a deep reinforcement learning (DRL)–successive convex approximation (SCA) combined algorithm to iteratively achieve near-optimal solutions with low complexity. …”
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    Energy-Efficiency Maximization in Backscatter Communication-Based Non-Orthogonal Multiple Access System: Dinkelbach and Successive Convex Approximation Approaches by Dingjia Lin, Tianqi Wang, Kaidi Wang, Zhiguo Ding

    Published 2024-01-01
    “…The goal is to maximize energy efficiency (EE) through the optimization of the beamforming matrix and the reflection coefficient of the BackCom devices. Two algorithms, Dinkelbach based on penalty semidefinite relaxation (SDR) and successive convex approximation (SCA), are proposed as high-performance and low-complexity solutions, respectively. …”
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    Enhancing unsupervised learning in medical image registration through scale-aware context aggregation by Yuchen Liu, Ling Wang, Xiaolin Ning, Yang Gao, Defeng Wang

    Published 2025-02-01
    “…We introduce ScaMorph, an unsupervised learning model for DIR that employs scale-aware context aggregation, integrating multiscale mixed convolution with lightweight multiscale context fusion. …”
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    A Survey on Reconfigurable Intelligent Surface for Physical Layer Security of Next-Generation Wireless Communications by Ravneet Kaur, Bajrang Bansal, Sudhan Majhi, Sandesh Jain, Chongwen Huang, Chau Yuen

    Published 2024-01-01
    “…The existing state-of-art approaches for PLS such as secret key generation (SKG), optimization algorithms, namely semidefinite relaxation-successive convex approximation (SDR-SCA) to optimize RIS coefficients, and optimal placement of RIS units are discussed for single-input single-output (SISO) case. …”
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