A Novel Co-Evolutionary Multi-Objective Optimization Algorithm by ZHU Haifeng

Subjects: “…estimation of distribution algorithm…”
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Distributed Optimization Strategy for Voltage Regulation in PV-Integrated Power Systems with Limited Sensor Deployment by Xun Lu, Junlei Liu, Xinmiao Liu, Jun Liu, Lingxue Lin

Subjects: “…improved dynamic projected primal–dual distributed algorithm…”
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Analysis of Algorithms for Detecting Users’ Behavioral Models based on Sessions Data by Vitaly Zabiniako, Toms Rožkalns, Erika Nazaruka, Jurijs Kornienko

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Synthesis of Fault-Tolerant Reliable Broadcast Algorithms With Reinforcement Learning by Diogo Vaz, David R. Matos, Miguel L. Pardal, Miguel Correia

Subjects: “…Fault-tolerant distributed algorithms…”
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Intelligent Formation Protocol: An Approach for Enhancing Energy Efficiency and Network Performance in Wireless Sensor Networks by Hayder Ayad Khudhair

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Resilient math inspired EDA optimized fuzzy adaptive exponent controller for LFC improvement of an EV integrated microgrid by Prakash Chandra Sahu, Buddhadeva Sahoo, Sarat Chandra Swain, Ghanshyam G. Tejani, David Bassir

Subjects: “…Math inspired-exponential distribution algorithm…”
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An improved NLOS error mitigation algorithm for 5G positioning in complex urban environments by Song Bao, Wang Bo, Song Kunlin, Quan Shichen, Cui Fang, Deng Zhihong, Fu Mengyin

Subjects: “…Particle filter combined with random-distribution algorithm…”
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Energy and Reserve Scheduling of Distribution Network in Presence of Electric Vehicle Aggregators: A Decentralized Approach by Atena Tazikeh Lemeski, Reza Ebrahimi, Alireza Zakariazadeh, Keyvan Firuzi

“…The problem is solved using the fast alternating direction method of multipliers (FADMMs) which is well suited for independent-objective optimizations with a fast convergence rate. The proposed distributed algorithm is tested and evaluated on a standard distribution network consisting of AGG and DGs. …”
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Distributed Coordinated Dispatch Model for Multi-area Interconnected Integrated Energy Systems Based on Sequential Cone Programming by Yujie REN, Yuhan HUANG, Zhenbo WEI

“…The solution of the distributed algorithm based on ATC is close to the global optimal solution of the distributed algorithm. …”
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Network selection algorithm in heterogeneous wireless networks to minimize the maximum residual service time by Bai DU, Hong-yan LI, Yan LONG

“…Due to the problem of how to select the most suitable access network for users at any time anywhere in heterogeneous wireless networks(HWN),a distributed algorithm to minimize the difference of residual service time between different access networks was proposed.The algorithm use the Lyapunov optimization to model the network and guarantee the stability of the network.Simulation results show that the proposed algorithm can decrease the rejection ratio and achieve a shorter queue length in access networks.…”
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Overlay multicast strategy based on utility optimization for wireless mesh networks by ZHU Cui-tao1, YANG Zong-kai1, CHENG Wen-qing1, WU Di1, YAN He 1

“…Multicast support is a critical and desirable feature of wireless mesh network（WMN）.A distributed algorithm was presented based on pricing scheme by using Lagrange dual decomposition technique.According to the algorithm to joint optimizing rate allocation of flows and power consumption of links for forwarding data flows,to maximize the net utility.The price is associated with each individual network link,which reflects the traffic load on this link.The flow in turn collects the prices of all links on its multicast path and calculates the overall network price,then adjusts the stream-ing rate.The validity and effectiveness of the approach are demonstrated in simulations.…”
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Cluster-based resource allocation mechanism for Femtocell network by Hai-bo ZHANG, Jian ZOU, Kai-jian LIU, Shan-xue CHEN

“…A based-cluster resource allocation mechanism was proposed for suppressing interference between Femtocell and Macrocell in Macro-Femto network.The mechanism included three parts,FBS was put in disjoint clusters by graph theory and convex optimization,then a sub-channel allocation algorithm was adopted to assign sub-channel to the FUE and MUE based on fairness of rate.In the end,power allocation was performed by using distributed algorithm.Simulation results show that the proposed mechanism effectively suppresses cross-tier and co-tier interference in the Macro-Femto network,improves the average rate,meanwhile satisfies the requirements of fairness of rate,which makes users more satisfied.…”
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Minimum energy broadcasting algorithm in wireless sensor networks by TANG Yong, ZHOU Ming-tian

“…In order to adjust the transmission power of nodes for minimizing total energy consumption in wireless sensor networks,a new distributed algorithm called ERBOP（enhanced relative neighborhood graph broadcast oriented protocol） was proposed which was an improvement upon RBOP（relative neighborhood graph broadcast oriented protocol） pre-sented by Cartigny et al.In ERBOP,a sub-graph of relative neighborhood graph,which was a sparse connected graph and contains minimum spanning tree,was locally constructed by eliminating long edges.Moreover,1-dominating connected dominating set was constructed basing on the sub-graph,and only the dominating nodes participated in the broadcasting.The simulation results show that ERBOP conserves energy efficiently.…”
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Cluster-based resource allocation mechanism for Femtocell network by Hai-bo ZHANG, Jian ZOU, Kai-jian LIU, Shan-xue CHEN

“…A based-cluster resource allocation mechanism was proposed for suppressing interference between Femtocell and Macrocell in Macro-Femto network.The mechanism included three parts,FBS was put in disjoint clusters by graph theory and convex optimization,then a sub-channel allocation algorithm was adopted to assign sub-channel to the FUE and MUE based on fairness of rate.In the end,power allocation was performed by using distributed algorithm.Simulation results show that the proposed mechanism effectively suppresses cross-tier and co-tier interference in the Macro-Femto network,improves the average rate,meanwhile satisfies the requirements of fairness of rate,which makes users more satisfied.…”
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Novel non-cooperative power control game algorithm for cognitive radio by Jun-hui ZHAO, Tao YANG, Xue-xue ZHANG

“…A novel non-cooperative power control algorithm based on new pricing function and the characteristics of cognitive radio technology was proposed with the interference temperature constrain,in order to improve signal to interference plus noise ratio of CR.The problem of power control was changed into the problem of multi-restraints non-linear optimization with interference limits based on channel conditions,maximal network and power limits.The existence and unique of nash equilibrium(NE)in utility function by the principle of game theory and optimization were proved and a distributed algorithm for this game was proposed.Simulation results show that the proposed algorithm can improve users QoS(quality of serves),system performance effectively and improve radio resource efficiency.…”
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Adaptive SDN switch migration mechanism based on coalitional game by Lan YAO, Julong LAN

“…The problem of poor control plane performance causes in software-defined Networking due to the unreasonable mapping relationship between controllers and switches.To address this issue,an adaptive switch migration mechanism based on coalitional game was proposed.First,comprehensively considering the controller resource utilization,control overhead,and flow establishment time,the switch migration problem was modeled as a combination optimization problem.Then,a game theory was introduced to design a distributed algorithm,where each controller ran control logic independently and implemented coalitional game between controllers to achieve an adaptive switch migration mechanism that adapted to traffic characteristics.The simulation results show that the proposed mechanism can better adapt to the flow characteristics,reduce the control traffic overhead by about 19% and the average flow settling time by 30%,and improve the controller resource utilization.…”
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Distributed Constrained Optimization Algorithms for Drones by Hongzhe Liu

“…The primary objective is to develop a distributed algorithm capable of tackling this optimization problem. …”
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A Privacy-Masking Learning Algorithm for Online Distributed Optimization over Time-Varying Unbalanced Digraphs by Rong Hu, Binru Zhang

“…To solve such a problem, we first propose a differentially private online distributed algorithm by injecting adaptively adjustable Laplace noises. …”
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A Multicast Algorithm for Wireless Sensor Networks Based on Network Coding by Zhi-jie Han, Ru-chuan Wang, Fu Xiao

“…We propose a set of distributed algorithms for improving the multicast throughput in wireless sensor networks. …”
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Distributed Transmission Probability Control in Fading Channel with State Information by S. Xie, K.S. Low, E. Gunawan

“…Two simple yet effective guidelines on selecting among these CSI-related methods are formulated for systems with different SNRs and capture ratios. A distributed algorithm is proposed to find the optimal transmission probability. …”
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