Flow Allocation Algorithm Based on Potential Game in Multi-Source Multi-Hop Wireless Sensor Network by Wei Zhang, Linghua Zhang

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Multicast resource allocation scheme considering source-coding characteristic in OFDM systems by XU Wen-jun, HE Zhi-qiang, NIU Kai, LIN Jia-ru, WU Wei-ling

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Multicast resource allocation scheme considering source-coding characteristic in OFDM systems by XU Wen-jun, HE Zhi-qiang, NIU Kai, LIN Jia-ru, WU Wei-ling

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Joint source–channel rate allocation with unequal error protection for space image transmission by Dan Dong, Shaohua Wu, Dongqing Li, Jian Jiao, Chanjuan Ding, Qinyu Zhang

“…A joint rate allocation algorithm based on the packet loss rate is proposed. …”
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Outage probability based power allocation and relay selection algorithm in cooperative communication by Li-yue SUN, Xiao-hui ZHAO, Ming GUO

“…The relay selection and power optimization of multi-relay cooperative communication network under a joint sum power constraint was considered.A low complexity lay selection and power allocation algorithm was also pro-posed in amplify-and-forward cooperative network aiming at minimizing the probability of system outage.In this scheme,optimal power allocation among source and relay nodes was conducted.According to the SNR,an optimal relay node set was selected and a power allocation factor leading to lower system outage probability was obtained by steepest descent method.This algorithm did not need large quantity of l statistical information and equal power condition.It can obtain the best set of relay nodes under optimal power allocation only by solving the arranged matrix on the basis of Sig-nal to Noise Ratio.Simulation results show that the proposed relay select and power allocation algorithm,under the same conditions,compared in the outage probability in erent relay node set among several algorithms,achieves better performance in outage probability and power efficiency.…”
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Primary-user behavior based joint routing and channel allocation algorithm in cognitive radio networks by Jing LIU, Pin-yi REN, Shao-li XUE, Chao ZHANG

“…To resolve the unstable routing problem due to the variation of spectrum availability caused by primary users’ behaviors in cognitive radio networks (CRN),a primary-user behavior based joint routing and channel allocation (PUB-JRCA) algorithm was proposed.The PUC-JRCA algorithm characterized the primary-user behavior by using the call-based model.According to the route discovery mechanism in the dynamic source routing protocol,the destination node selected the route which received the least impact from primary-user behaviors after receiving a number of route requests.Then,the destination sent back the route reply packet (RREP) along the selected route,and the channel allocation was performed when the RREP passed each node on this route.Theoretic analyses prove that the expected available transmission time for the packet delivery is inversely proportional to the probability that PU is active.Moreover,the computational complexity of the proposed algorithm is proportional to the number of nodes in the CRN.Simulation results show that the proposed algorithm has higher packet delivery ratio and lower average packet delay than the Gymkhana routing scheme.…”
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Forecast-based resource reconfiguration algorithm for network virtualization by ZHANG Shun-li, QIU Xue-song, PAN Ya-lian, MENG Luo-ming

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Demand Response: A Promising Solution to DG Allocation Problem by Soheil Dolatabadi, Saeed Ghassem Zadeh

“…In this paper, a comprehensive algorithm using modified invasive weed optimization is introduced for allocating distribution generation (DG) sources along with considering demand response (DR). …”
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Power losses reduction by optimal allocation of renewable distributed generation in distribution networks by Abdelkader Boukaroura, Mohammed Amroune

“…With the growing integration of decentralized renewable power generation into the distribution network, it becomes an active circuit where power flows and voltages are influenced not only by loads but also by sources. In distribution networks (DN), the optimal allocation of Renewable Distributed Generation (DG) units can significantly improve system performance by reducing power losses and enhancing the voltage profile and stability of the radial distribution network. …”
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Multi-objective allocation optimization model for water resources from a coal mine in the Inner Mongolia-Shaanxi contiguous area by Hechao MIAO, Shuning DONG, Hao WANG, Yuanyuan YANG, Wei QIAO, Xiaodong WANG, Dongqi WANG, Hongyang FU, Yuting LIU

“…Based on the newly established water resource allocation rules and in combination with the conditions including water balance, water quality standards, and constraints on water consumption, this study employed the non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) to determine the monthly allocation schemes for water resources under the base year of current status level in a coal mine within the Inner Mongolia-Shaanxi contiguous area. …”
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Optimal Allocation of Hybrid Energy Storage in Low-Voltage Distribution Networks with Incentive-based Demand Response by Fengliang XU, Keqian WANG, Wenhao WANG, Peng WANG, Wenye WANG, Shuai ZHANG, Fengzhan ZHAO

“…Then, based on the characteristics of energy storage devices and incentive-based demand-side response resources at different time scales, it is proposed to use the improved VMD algorithm to make a multi-scale decomposition and combined reconstruction of the net load curves, and the improved whale optimization algorithm is used to solve the optimal allocation model with the objective of the minimum sum of the total system cost and active power fluctuation value. …”
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Optimal Allocation of Hybrid Renewable Distributed Generation with Battery Energy Storage System Using MOEA/D-DRA Algorithm by P. Pon Ragothama Priya, S. Baskar, S. Tamil Selvi, C. K. Babulal

“…The proposed formulation for a Multi-objective Optimization of Hybrid Energy Sources allocation problem solved by the MOEA/D-DRA algorithm provides improved benefits like minimum annual energy loss, investment cost, CO2 emission, EENS by the DG units, and enhanced system voltage stability and voltage profile.…”
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Combined Allocation of Renewable-Based Distributed Generators and Shunt Capacitor Banks in Distribution Networks with Electric Vehicle Load Penetration by Abhilasha Pawar, Rajkumar Viral, Divya Asija, Mohit Bansal

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Algorithm design on energy efficiency maximization for UAV-assisted edge computing by Qihui WU, Wei WU

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Uncertainty-aware multi-objective growth optimizer of EV charging stations allocation in unbalanced grids by Abdullah M. Shaheen, Aya R. Ellien, Adel A. El-Ela, Ali M. El-Rifaie

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Reconsidering the use of race, sex, and age in clinical algorithms to address bias in practice: A discussion paper by Reanna Panagides, Jessica Keim-Malpass

“…By applying a framework for understanding sources of harm throughout the machine learning life cycle and presenting case studies, this paper aims to examine sources of potential harms (i.e. representational and allocative harm) associated with including sex and age in clinical decision-making algorithms, particularly risk calculators. …”
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Optimal allocation of STATCOM for multi-objective ORPD problem on thermal wind solar hydro scheduling using driving training based optimization by Tushnik Sarkar, Sabyasachi Gupta, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Anagha Bhattacharya, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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A distributed algorithm for solving large-scale p-median problems using expectation maximization by Harsha Gwalani, Joseph Helsing, Sultanah M. Alshammari, Chetan Tiwari, Armin R. Mikler

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Energy Storage Configuration Optimization of a Wind–Solar–Thermal Complementary Energy System, Considering Source-Load Uncertainty by Guangxiu Yu, Ping Zhou, Zhenzhong Zhao, Yiheng Liang, Weijun Wang

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Two-Stage Robust Optimization Considering the Uncertainty of Sources and Loads in Virtual Power Plants by Shixun Qi, Duo Li, Liyong Hou, Haili Wang, Li Xin, Yaojie Jin, Yuanji Cai, Mingfei Ban

“…To address the challenges of system operation optimization and resource allocation caused by the integration of a large amount of renewable energy on the supply side of the energy system into VPPs and the flexible and changeable load on the demand side, this paper proposes a distributed robust optimization method that simultaneously considers the uncertainties of both the source and the load. …”
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