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Decoupling network optimization in high speed systems by mixed-integer programming

Jai Narayan Tripathi, Ashutosh Mahajan, Jayanta Mukherjee, Raj Kumar Nagpal, Rakesh Malik, Nitin Gupta
2014 2014 IEEE International Symposium on Circuits and Systems (ISCAS)  
Power Integrity is maintained in a high speed system by designing an efficient decoupling network.  ...  This paper provides a generic formulation for decoupling capacitor selection and placement problem which is solved by mixed-integer programming. A real-world example is presented for the same.  ...  PROBLEM FORMULATION The problem of decoupling capacitors selection and placement in any high speed system can be generically formulated as an integer optimization problem as follows: min x,y P p=1 C c=  ... 
doi:10.1109/iscas.2014.6865309 dblp:conf/iscas/TripathiMMNMG14 fatcat:j756vqna4bhttfol6j5x6d5xre

Mixed-Integer Linear Programming Formulation of Combined Heat and Power Units for the Unit Commitment Problem

Martin Koller, René Hofmann
2018 Journal of Sustainable Development of Energy, Water and Environment Systems  
This paper presents a generic modelling method of coupled and decoupled combined heat and power units with mixed-integer linear programming.  ...  Combined heat and power units play an important role in such systems, since they have a high total efficiency and enable the interconnection between the networks.  ...  ACKNOWLEDGEMENT The authors would like to thank eins energie in sachsen GmbH & Co.  ... 
doi:10.13044/j.sdewes.d6.0207 fatcat:5tkk7hlr6rdf7cobi2dwrxvfzq

Fog Computing-Assisted Energy-Efficient Resource Allocation for High-Mobility MIMO-OFDMA Networks

Lingyun Lu, Tian Wang, Wei Ni, Kai Li, Bo Gao
2018 Wireless Communications and Mobile Computing  
This paper presents a suboptimal approach for resource allocation of massive MIMO-OFDMA systems for high-speed train (HST) applications.  ...  We propose to decouple the problem between the allocations of antennas, subcarriers, and transmit powers and solve the problem by carrying out the allocations separately and iteratively in an alternating  ...  Acknowledgments This project is supported by the National Natural Science Foundation of China (Grant no. 61771002).  ... 
doi:10.1155/2018/5296406 fatcat:7vdtpqwojndj5fxyeru7xfgeau

Evaluate Quantum Combinatorial Optimization for Distribution Network Reconfiguration [article]

Phuong Ngo
2022 arXiv   pre-print
To this end, we construct a novel mixed integer conic programming formulation for the reconfiguration of radial distribution network in response to faults in distribution lines.  ...  The network reconfiguration model is then used as a benchmark to evaluate the performance of quantum computing algorithms in real quantum computers.  ...  However, in the case of radial network and under mild assumption, the problem can be formulated as mixed integer conic program (MICP), which can be solved optimally by commercial solvers such as CPLEX  ... 
arXiv:2208.07513v1 fatcat:nb7u6k3aszdy3i4etlcyeouj3e

A Latency-Aware Task Offloading in Mobile Edge Computing Network for Distributed Elevated LiDAR [article]

Michael C. Lucic, and Yehia Massoud School of Systems and Enterprises – Stevens Institute of Technology, Hoboken, NJ, USA, Missouri University of Science and Technology, Rolla, MO, USA)
2020 arXiv   pre-print
In this paper, we address this need for an optimized backhaul system by formulating a mixed-integer programming problem that minimizes the average latency of the uplink and downlink hop-by-hop transmission  ...  Since ELiDs have been removed from the vehicle, their data must be processed externally in the cloud or on the edge, necessitating an optimized backhaul system that allocates data efficiently to compute  ...  Our mixed-integer programming problem solution will optimally (i.e. minimal latency) decide on how bandwidth is shared across the MEC backhaul network. II.  ... 
arXiv:2003.09741v1 fatcat:fdwplsexuff47cjnmwc4tlgwqi

Lagrangian relaxation neural networks for job shop scheduling

P.B. Luh, Xing Zhao, Yajun Wang, L.S. Thakur
2000 IEEE Transactions on Robotics and Automation  
In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangian relaxation neural network (LRNN) for separable optimization problems by combining recurrent  ...  The method, however, has the potential to be implemented in hardware with much improved quality and speed.  ...  For problems with integer variables, Hopfield networks approximate integer variables by continuous ones and induce integrality by using "high gain" functions or having additional constraints.  ... 
doi:10.1109/70.833193 fatcat:o4ljmcwidrbxtmamidyw4q6sdm

Discrete optimisation and real world problems [chapter]

Josef Kallrath, Anna Schreieck
1995 Lecture Notes in Computer Science  
Computer-based optimisation techniques are the best means of obtaining viable solutions, but until now the mixed integer programs developed have been able to deal only with simple problems.  ...  is to create some attention with respect to the potential benefits of the method, to transmit a sense of what kind of problems can be tackled, and to increase the acceptance of the approach based on mixed-integer  ...  4 , an integer (ILP) or a mixed-integer linear programming problem (MILP) results.  ... 
doi:10.1007/bfb0046652 fatcat:asqxfbbnkzfdnhhip2yt4mhj5i

A review of emerging techniques on generation expansion planning

Jinxiang Zhu, Mo-yuen Chow
1997 IEEE Transactions on Power Systems  
This paper will describe these emerging optimization techniques, including expert systems, fuzzy logic, neural networks, analytic hierarchy process, network flow, decomposition method, simulated annealing  ...  , and genetic algorithm and their potential usage in solving the challenging generation expansion planning in future competitive environments in power industry.  ...  GEP can be firstly formulated as an integer programming problem or a mixed integer programming problem subject to a number of equality and inequality constraints, then a Hopfield network can be applied  ... 
doi:10.1109/59.627882 fatcat:xc72gevcfne5zbt6drik3d3e2a

Fair Allocation of Subcarrier and Power in an OFDMA Wireless Mesh Network

K.-D. Lee, V.C.M. Leung
2006 IEEE Journal on Selected Areas in Communications  
We formulate the two subproblems by nonlinear integer programming and nonlinear mixed integer programming, respectively. A simple and efficient solution algorithm is developed for the MR's problem.  ...  In WMNs, since not all the information necessary for scheduling is available at a central scheduler (e.g., MR), it is advantageous to involve the MR and as many mesh clients as possible in distributed  ...  Solution Method-An Alternative Approach As shown above, is a nonlinear mixed integer programming problem.  ... 
doi:10.1109/jsac.2006.881628 fatcat:iukcqjmqk5al7iplc37n72imd4

Convex power flow models for scalable electricity market modelling

Frederik Geth, Reinhilde D'Hust, Dirk Van Hertem
2018 Zenodo  
Within the SmartNet project, the idea is to consider the grid's physical behaviour in market clearing approaches.  ...  Optimal power flow problems and market clearing approaches are converging: cost-optimal scheduling of loads and generators should be performed while taking the grid's physics and operational envelopes  ...  In that sense, mixed-integer nonconvex optimisation is not a suitable approach.  ... 
doi:10.5281/zenodo.1321189 fatcat:a4nwvo2gmbbsrdyagss22qvaje

A Hierarchical Modeling for Reactive Power Optimization With Joint Transmission and Distribution Networks by Curve Fitting

Tao Ding, Cheng Li, Can Huang, Yongheng Yang, Fangxing Li, Frede Blaabjerg
2018 IEEE Systems Journal  
Second, the transmission and distribution networks are decoupled at feeder buses, and all the distribution networks are coordinated by the master reactive power optimization model to achieve the global  ...  by alleviating the big data problem in a control center.  ...  This kind of problem is called a mixed-integer convex programing problem. Unfortunately, the MINLP in (6) is not a mixed-integer convex programming problem due to nonconvex power flow equations.  ... 
doi:10.1109/jsyst.2016.2642218 fatcat:6iykgxxetzegbihplpu7xvhyry

An Optimal SDN-Based Wavelength Allocation and Routing Method for 5G Network

Hui Zhou, Zhong Tian, Shebnam M. Sefat, Samih M. Mostafa, Imran Khan
2022 Mobile Information Systems  
A novel SDN-based approach is proposed to address the problem of old methods mixed with new architecture in optical networks.  ...  The proliferation of cloud services and the massive volume of traffic provided by content delivery networks are driving the present fast increase in Internet traffic.  ...  optimal solution, and further improves the efficiency of solving integer programming problems.  ... 
doi:10.1155/2022/9448147 fatcat:7rp5xig7kvhqpaf5u3526ldtg4

SAMP: A Toolkit for Model Inference with Self-Adaptive Mixed-Precision [article]

Rong Tian, Zijing Zhao, Weijie Liu, Haoyan Liu, Weiquan Mao, Zhe Zhao, Kimmo Yan
2022 arXiv   pre-print
In this paper, we develop a toolkit for users to easily quantize their models for inference, in which a Self-Adaptive Mixed-Precision (SAMP) is proposed to automatically control quantization rate by a  ...  model inference speed.  ...  On the other hand, we find that in some application scenarios, the speed of FasterTransformer implementation still could be optimized.  ... 
arXiv:2209.09130v1 fatcat:jcb7jieqrvgihb4qyfqeyzcfs4

Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM [article]

Cong Leng, Hao Li, Shenghuo Zhu, Rong Jin
2017 arXiv   pre-print
In this paper, we focus on compressing and accelerating deep models with network weights represented by very small numbers of bits, referred to as extremely low bit neural network.  ...  Borrowing the idea from Alternating Direction Method of Multipliers (ADMM), we decouple the continuous parameters from the discrete constraints of network, and cast the original hard problem into several  ...  Our basic idea is largely inspired by recent successful application of ADMM in mixed integer programs [18, 21] .  ... 
arXiv:1707.09870v2 fatcat:lg7lnntm5vgwfeg5z4ez4kwx3a

Research on Distributed Electric Grid Economic Dispatch Model Based on Multi-objective Optimization

JINGDONG ZHOU, BOQIANG REN, SHUMAN LI, MENGXUAN LIU, FENGYU QI
2018 DEStech Transactions on Engineering and Technology Research  
The results of calculation cases show that this method can achieve a good result in the optimization process of distributed electric grid economic dispatch.  ...  At present, the electric grid economic dispatch problems present a trend of non-linearity, high dimensionality, discretization and multi-objective.  ...  The literature [9] transformed the original non-convex optimization problem into a mixed integer quadratic programming issue through the transformation of the unit's embargo area constraints into a mixed  ... 
doi:10.12783/dtetr/iceta2017/19921 fatcat:ccvzsp22ijcctgvmjuz6p5dtdu
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