AGC Including ELD and Emission Coordination Using Sine Cosine Algorithm by Ahmed Oday Oleiwi, Ahmed Jasim Sultan

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Research on multi-UAV energy consumption optimization algorithm for cellular-connected network by Jingming XIA, Yufeng LIU, Ling TAN

“…In complex time-varying environment, the ground base station (GBS) may not assist the UAV.Therefore, a mobile edge computing (MEC) cellular-connected network based on digital twin (DT) technology was studied.Given the efficiency of multi-UAV, multiple high-altitude balloon (HAB) equipped with MEC servers were introduced.On this basis, an energy minimization problem for all UAV was proposed, and a multi-UAV trajectory optimization and resource allocation scheme was presented to solve it.The double deep Q-network (DDQN) was applied to handle the association between multi-UAV and multi-HAB, and the multi-UAV trajectory and computing resource allocation were jointly optimized by the successive convex approximation (SCA) and the block coordinate descent (BCD).Simulation experiments verify the feasibility and effectiveness of the proposed algorithm.The system energy consumption is reduced by 30%, better than the comparison algorithms.…”
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Impact and integration of electric vehicles on renewable energy based microgrid: Frequency profile improvement by a-SCA optimized FO-Fuzzy PSS approach by Prakash Chandra Sahu

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A Fusion Multiobjective Empire Split Algorithm by Liang Liang

“…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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Research on multi-bit decoding algorithms for polar codes by Zhouqing SHEN, Junna SHANG

“…Aiming at the problem of high delay of successive cancellation lists (SCL) decoding algorithm for polar codes,a multi-bit SCL (MSCL) decoding algorithm based on log-likelihood ratio was proposed.The multiple codeword bits could be decoded simultaneously at a single decision time.Without loss of SCL decoding performance,the decoding delay was reduced from 3N-2 clocks to 4N/M-2 clocks.Compared with the existing multi-bit SCL decoding algorithm,the MSCL decoding algorithm had a lower complexity of the path metric calculation.In order to reduce the decoding delay and memory space of the cyclical redundancy check (CRC) assisted SCL (CA-SCL) decoding algorithm,a segmented CRC assisted MSCL (SCA-MSCL) decoding algorithm was proposed,and a segmentation information codeword length correction algorithm was proposed.By adjusting the length of the relevant segment,the information bit index set A was guaranteed.Under the same premise,the corresponding information bit index at the end of each segment could be divisible by M.The SCA-MSCL algorithm could output decoded code words as early as possible by using multiple CRC decisions,thereby reducing the decoder’s storage space and decoding delay.…”
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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

“…The Sine Cosine Algorithm (SCA) excels in local search capabilities for solving real optimization problems. …”
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Resource allocation algorithm for intelligent reflecting surface-aided SWIPT networks by Wei SUN, Qingyang SONG, Lei GUO

“…In order to achieve the efficient interconnection of everything, under the limitations of terminal devices’ batteries and network coverage, the intelligent reflecting surface (IRS) technology was introduced to build a new IRS-aided simultaneous wireless information and power transfer (SWIPT) network.To further improve the total throughput of the network, a resource allocation (RA) scheme aiming at sum-rate maximization was proposed.Considering that the constraints of the maximum transmit power of a base station, the minimum energy requirement of each device and the phase shifts on an IRS, a joint transmit beamforming, power splitting (PS) ratio and phase shift optimization problem was formulated.Due to the non-convex problem and coupled variables, a block coordinate descent (BCD)-based algorithm was proposed.Then, the joint transmit beam forming design, PS ratio optimization and phase shift design were solved by using the successive convex approximation (SCA) and Riemannian manifold methods, respectively.Simulation results show that the proposed RA scheme performs better than the existing RA schemes in terms of sum-rate.…”
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Energy efficiency optimization algorithm for heterogeneous NOMA network based on imperfect CSI by Yongjun XU, Hao XIE, Qianbin CHEN, Jinzhao LIN, Qilie LIU

“…In order to improve the suppression capability of parametric perturbation and energy efficiency (EE) of heterogeneous networks (HetNets),a robust resource allocation algorithm was proposed to maximize system EE for reducing cross-tier interference power in non-orthogonal multiple access (NOMA) based HetNets.Firstly,the resource optimization problem was formulated as a mixed integer and nonlinear programming one under the constraints of the interference power of macrocell users,maximum transmit power of small cell base station (BS),resource block assignment and the quality of service (QoS) requirement of each small cell user.Then,based on ellipsoid bounded channel uncertainty models,the original problem was converted into the equivalent convex optimization problem by using the convex relaxation method,Dinkelbach method and the successive convex approximation (SCA) method.The analytical solutions were obtained by using the Lagrangian dual approach.Simulation results verifiy that the proposed algorithm had better EE and robustness by comparing it with the existing algorithm under perfect channel state information.…”
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Research on IoV resource allocation algorithm assisted by reconfigurable intelligent surface by Fatang CHEN, Ruofan ZHANG

“…In order to meet the higher requirements of vehicle communication quality and spectral efficiency, a IoV resource allocation algorithm assisted by reconfigurable intelligent surface (RIS) was proposed.The RIS reflection coefficient matrix, power allocation, and spectrum sharing schemes were combined to solve the problem of maximizing the total capacity of V2I link under the condition of ensuring the reliability of V2V link.As this problem was a non-convex optimization problem with highly coupled variables, it was difficult to solve it directly.Therefore, after introducing an analytic expression to approximate the interrupt probability of V2V link, the problem was decomposed into three sub-problems by using the block coordinate descent (BCD) method, and the sub-problems were solved by introducing auxiliary variables, successive convex approximation (SCA), Hungarian algorithm, etc., and then the approximate suboptimal solution of the problem was obtained.Simulation results show that the proposed algorithm has good convergence performance and can effectively improve the total capacity of V2I link.…”
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Optimal Design of PID-Load Frequency System Based on a Sine Cosine Algorithm by Ali Jasim Mohammed

“…In this research, the optimal PID-FLC control is designed using the sine cosine algorithm (SCA). A two-area power system network is proposed based on a MATLAB environment in order to evaluate this suggested method. …”
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Robust transmission algorithm for IRS-assisted NOMA network with hardware impairments and imperfect CSI by Qilie LIU, Jiacheng FANG, Yanan XIN, Qianbin CHEN

“…To improve the robustness and reduce the energy consumption of non-orthogonal multiple access (NOMA) networks, based on hardware impairments (HWI) of transceiver and non-perfect channel state information (CSI), an intelligent reflecting surface (IRS) assisted transmission power minimization algorithm for NOMA networks was proposed.The joint optimization problem of active beam assignment at the base station and passive beam assignment at the IRS was modeled based on HWI and non-perfect CSI.The system considered the user quality of service (QoS) constraint, the serial interference cancellation constraint and the reflection phase shift constraint of the IRS.To solve this nonconvex optimization problem, the QoS constraints were firstly transformed using linear approximation and S-Procedure methods.Then the optimization problem was decomposed into two subproblems.The active beam assignment subproblem was solved using the successive convex approximation (SCA) method.The passive beam assignment subproblem was solved using the penalized convex-concave process algorithm.Finally, the final solution was obtained by iterating the subproblems alternately using alternating optimization.The simulation results show that the proposed algorithm reduces 17.05% compared to the or thogonal multiple access robust algorithm in terms of transmitted power.In terms of system robustness, the proposed algorithm improves by 20.69% and 31.14% compared to the HWI robust algorithm and the CSI robust algorithm, respectively.…”
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A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification by Lahbib Khrissi, Nabil El Akkad, Hassan Satori, Khalid Satori

“…To demonstrate the superiority of the proposed method, 16 benchmark datasets from the UCI repository are used and also compared by well-known and recently introduced meta-heuristics in this context, such as: sine-cosine algorithm (SCA), whale optimization algorithm (WOA), butterfly optimization algorithm (BAO), and butterfly flame optimization algorithm (MFO). …”
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Resource allocation algorithm for cognitive radio systems based on STAR-RIS with coupled phase shifts by LI Guoquan, XIONG Hao, XIE Zonglin, LIN Jinzhao

“…Subsequently, based on the penalty dual decomposition (PDD) framework, the semidefinite relaxation (SDR) and the successive convex approximation (SCA) algorithms were used to optimize them alternately and seek the final solution. …”
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Predicting the Compressive Strength of High-Performance Concrete utilizing Radial Basis Function Model integrating with Metaheuristic Algorithms by LiWei Hu

“…In addition, RBF is combined with the Sine Cosine Algorithm (SCA) and the African Vulture Optimization Algorithm (AVOA) to obtain the desired results close to the experimental values. …”
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Load-Frequency Control of a Hybrid Islanded Microgrid with a Fractional Order Fuzzy PID Controller Optimized by Cheetah Algorithm by Siavash Shirali, Saeed Zolfaghari Moghaddam, Mortaza Ali Asghary

“…To evaluate the performance of the proposed controller, its results have been compared with other controllers, namely: classic PID, fractional order PID and fuzzy PID controllers optimized with other optimization algorithms such as PSO, SCA and GA, using several criteria including: IAE, ISE, ITAE and ITSE. …”
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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

“…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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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

“…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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Joint trajectory design and resource allocation for UAV-assisted mobile edge computing in power convergence network by Junbin Cui, Yong Wei, Jianbo Wang, Li Shang, Peng Lin

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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

“…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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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

“…Numerical results validate the effectiveness and convergence of the proposed algorithm.…”
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