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Articles 1 - 14 of 14
Full-Text Articles in Computer Engineering
Optimal Coordination Of Directional Overcurrent Relay Based On Combination Ofimproved Particle Swarm Optimization And Linear Programming Consideringmultiple Characteristics Curve, Suzana Pil Ramli, Hazlie Mokhlis, Wei Ru Wong, Munir Azam Muhammad, Nurulafiqah Nadzirah Mansor, Muhamad Hatta Hussain
Optimal Coordination Of Directional Overcurrent Relay Based On Combination Ofimproved Particle Swarm Optimization And Linear Programming Consideringmultiple Characteristics Curve, Suzana Pil Ramli, Hazlie Mokhlis, Wei Ru Wong, Munir Azam Muhammad, Nurulafiqah Nadzirah Mansor, Muhamad Hatta Hussain
Turkish Journal of Electrical Engineering and Computer Sciences
Optimal coordination of directional over-current relays (DOCRs) is a crucial task in ensuring the security and reliability of power system network. In this paper, a hybridization of an improved particle swarm optimization and linear programming (IPSO-LP) is proposed to solve DOCRs coordination problem. The considered decision variables in the optimization are plug setting current, time multiplier setting, type of relay, and type of curve. By considering these parameters in the optimization, the best relay operating time can be determined. Furthermore, the proposed technique also considered the continuous values of pick-up current setting (PSC) and time setting multiplier (TMS). Test on …
A Linear Programming Approach To Multiple Instance Learning, Emel Şeyma Küçükaşci, Mustafa Gökçe Baydoğan, Zeki̇ Caner Taşkin
A Linear Programming Approach To Multiple Instance Learning, Emel Şeyma Küçükaşci, Mustafa Gökçe Baydoğan, Zeki̇ Caner Taşkin
Turkish Journal of Electrical Engineering and Computer Sciences
Multiple instance learning (MIL) aims to classify objects with complex structures and covers a wide range of real-world data mining applications. In MIL, objects are represented by a bag of instances instead of a single instance, and class labels are provided only for the bags. Some of the earlier MIL methods focus on solving MIL problem under the standard MIL assumption, which requires at least one positive instance in positive bags and all remaining instances are negative. This study proposes a linear programming framework to learn instance level contributions to bag label without emposing the standart assumption. Each instance of …
Modeling And Simulation On Railway Bulk Oil Transit Operations, Jingheng Ma, Xingchang Liu, Youhong Fan, Kang Jin
Modeling And Simulation On Railway Bulk Oil Transit Operations, Jingheng Ma, Xingchang Liu, Youhong Fan, Kang Jin
Journal of System Simulation
Abstract: The railway bulk oil transit operation is a hybrid (discrete/continuous) system because of the main body of the continuous flow oil and a variety of discrete events. According to the system’s characteristics of complex process, great difficulty, high risk, the oil transit operation model was established based on discrete rate simulation and system’s continuity, predict events, emergencies were analyzed. The model was converted into linear programming, the effective rate was calculated under constraints, and the operation process and event scheduling was simulated. It was verified that the model is feasible. By obtaining the dynamic behavior and real-time data, its …
Study On Optimization Of Loading Plan In Car Carrier Of Vehicle Logistics Transportation, Qin Liang, Zhicheng Wang, Meng Lei, Deru Deng, Zhiyun Zou, Xijie Gai, Yuqing Guo, Wenqiang Feng
Study On Optimization Of Loading Plan In Car Carrier Of Vehicle Logistics Transportation, Qin Liang, Zhicheng Wang, Meng Lei, Deru Deng, Zhiyun Zou, Xijie Gai, Yuqing Guo, Wenqiang Feng
Journal of System Simulation
Abstract: The car carrier load transportation allocation problem is a typical problem in vehicle logistics. In order to improve the efficiency of transport and reduce the cost, this problem was studied by adopted hypothetical data and requirements. All the load combinations whose utilization factor of the length of sweeping board is more than 95% established a matrix. Then the dynamic programming obtained the number of car carrier to the corresponding loading plan. By using the exhaustion method, through computer simulation, loading plan of each layer of car carrier was randomly produced, strictly meeting the loading requirements of each car at …
Fire Reconstruction Method Based On Les And Linear Programming, Guangyao Yao, Peizhong Yang, Tan Xun
Fire Reconstruction Method Based On Les And Linear Programming, Guangyao Yao, Peizhong Yang, Tan Xun
Journal of System Simulation
Abstract: A method based on LES and linear programming was proposed for the numerical construction of fire accident. In the simulation with LES method, all the quantities were decomposed into large-scale components and small-scale components. For large-scale components, the direct simulation method was used. For small-scale components, the subgrid model was used. The LES method could improve the simulation accuracy. In the linear programming method, the parameters were locally linearized to solve the optimization problem. It could improve the simulation efficiency. The method was applied to the numerical reconstruction of a wholesale market fire in Shanghai. The spread of fire …
Coordinated Charging Of Electric Vehicles Including Customer Options For Slow Orfast Charging, Swapna Ganapaneni, Srinivasa Varma Pinni
Coordinated Charging Of Electric Vehicles Including Customer Options For Slow Orfast Charging, Swapna Ganapaneni, Srinivasa Varma Pinni
Turkish Journal of Electrical Engineering and Computer Sciences
Transportation system electrification in the world decreases the gasoline consumption that leads to increase in usage of number of plug in electric vehicles (PEVs). PEV is a bidirectional resource which, while playing the role of a resource, poses challenges in its management. These vehicles are to be charged at a residential standard outlet or in a corporate car charging station. This paper mainly aims to maximize the benefits of a customer who comes to a charging station for charging their vehicle. An incentive-based cost mechanism is introduced to optimally schedule the vehicles; this mechanism minimizes the overall charging cost, considers …
A Random Subspace Based Conic Functions Ensemble Classifier, Emre Çi̇men
A Random Subspace Based Conic Functions Ensemble Classifier, Emre Çi̇men
Turkish Journal of Electrical Engineering and Computer Sciences
Classifiers overfit when the data dimensionality ratio to the number of samples is high in a dataset. This problem makes a classification model unreliable. When the overfitting problem occurs, one can achieve high accuracy in the training; however, test accuracy occurs significantly less than training accuracy. The random subspace method is a practical approach to overcome the overfitting problem. In random subspace methods, the classification algorithm selects a random subset of the features and trains a classifier function trained with the selected features. The classification algorithm repeats the process multiple times, and eventually obtains an ensemble of classifier functions. Conic …
Interval Fuzzy Modeling Based On Minimizing-Norm On Approximation Error, Xiaoyong Liu, Zhonggang Xiong, Changguo Yan
Interval Fuzzy Modeling Based On Minimizing-Norm On Approximation Error, Xiaoyong Liu, Zhonggang Xiong, Changguo Yan
Journal of System Simulation
Abstract: As the obtained data in many practical applications tend to be uncertain or inaccurate, conventional modeling methods characterized by deterministic model for this type of data have become undesirable. Taking linear programming and TS fuzzy model and some ideas from norm minimization into consideration, a novel method identifying interval fuzzy model (INFUMO) consisting of upper and lower TS fuzzy model (referred to as fU and fL) has been studied. In order to solve INFUMO, optimization problems based on minimizing-norm with respect to approximation error corresponding to fU and fL are constructed. Finally, optimization problems …
Chaos Firefly Algorithm With Self-Adaptation Mutation Mechanism For Solving Large-Scale Economic Dispatch With Valve-Point Effects And Multiple Fuel Options, Yude Yang, Bori Wei, Hui Liu, Yiyi Zhang, Junhui Zhao, Emad Manla
Chaos Firefly Algorithm With Self-Adaptation Mutation Mechanism For Solving Large-Scale Economic Dispatch With Valve-Point Effects And Multiple Fuel Options, Yude Yang, Bori Wei, Hui Liu, Yiyi Zhang, Junhui Zhao, Emad Manla
Electrical & Computer Engineering and Computer Science Faculty Publications
This paper presents a new metaheuristic optimization algorithm, the firefly algorithm (FA), and an enhanced version of it, called chaos mutation FA (CMFA), for solving power economic dispatch problems while considering various power constraints, such as valve-point effects, ramp rate limits, prohibited operating zones, and multiple generator fuel options. The algorithm is enhanced by adding a new mutation strategy using self-adaptation parameter selection while replacing the parameters with fixed values. The proposed algorithm is also enhanced by a self-adaptation mechanism that avoids challenges associated with tuning the algorithm parameters directed against characteristics of the optimization problem to be solved. The …
Effects Of Mica2-Based Discrete Energy Levels On The Lifetime Of Cooperation Neighbor Sensor Networks, Zeydi̇n Pala
Effects Of Mica2-Based Discrete Energy Levels On The Lifetime Of Cooperation Neighbor Sensor Networks, Zeydi̇n Pala
Turkish Journal of Electrical Engineering and Computer Sciences
using Mica2 mote discrete power levels on neighbor sensor network lifetime. We built a linear programming framework to qualify the cooperation of sensor networks using a discrete energy model in comparison to noncooperating networks. Our results showed that a wireless sensor neighbor network that uses a discrete radio model can be more energy efficient than a network that uses a nondiscrete energy model.
The Impact Of Disabling Suspicious Node Communications On Network Lifetime In Wireless Ad Hoc Sensor Networks, Zeydi̇n Pala, Ni̇hat İnanç
The Impact Of Disabling Suspicious Node Communications On Network Lifetime In Wireless Ad Hoc Sensor Networks, Zeydi̇n Pala, Ni̇hat İnanç
Turkish Journal of Electrical Engineering and Computer Sciences
In wireless sensor networks (WSNs), the data observed by different nodes must be relayed safely to the base station over intermediate nodes. In the network environment, some sensor nodes can act suspiciously when they enter someone else's control or due to other equipment failure. Data packets that are sent through suspicious nodes may be randomly dropped or may be not delivered as desired. In this paper, we investigate the impact of disabling suspicious nodes communications on network lifetime through a linear programming framework. We build a mathematical programming framework and perform comprehensive numerical analysis. Our results show that the decrease …
Composite Power System Adequacy Assessment Based On Postoptimal Analysis, Amir Safdarian, Mahmood Fotuhi-Firuzabad, Farrokh Aminifar
Composite Power System Adequacy Assessment Based On Postoptimal Analysis, Amir Safdarian, Mahmood Fotuhi-Firuzabad, Farrokh Aminifar
Turkish Journal of Electrical Engineering and Computer Sciences
The modeling and evaluation of enormous numbers of contingencies are the most challenging impediments associated with composite power system adequacy assessment, particularly for large-scale power systems. Optimal power flow (OPF) solution, as a widely common approach, is normally employed to model and analyze each individual contingency as an independent problem. However, mathematical representations associated with diverse states are slightly different in one or a few generating units, line outages, or trivial load variations. This inherent attribute brings a promising idea to speed up the contingency evaluation procedure. In this paper, postoptimal analysis (POA), as a well-recognized technique to attack a …
Minimization Of Load Shedding By Sequential Use Of Linear Programming And Particle Swarm Optimization, Mehrdad Tarafdar Hagh, Sadjad Galvani
Minimization Of Load Shedding By Sequential Use Of Linear Programming And Particle Swarm Optimization, Mehrdad Tarafdar Hagh, Sadjad Galvani
Turkish Journal of Electrical Engineering and Computer Sciences
Minimization of load shedding during contingency conditions is solved as an optimization problem. As a new topic, instead of local load shedding, total load shedding of a large power system is considered. Power generation rescheduling is considered to minimize the load shedding, as well. Different importance factors for buses are also considered. The linear programming method (LP) is used to solve this problem in a short period of time without considering some power system constraints. Particle swarm optimization (PSO) is also used to solve the problem by considering all power system constraints, but with a longer solving time. Finally, a …
Cut-And-Solve: A Linear Search Strategy For Combinatorial Optimization Problems, Sharlee Climer, Weixiong Zhang
Cut-And-Solve: A Linear Search Strategy For Combinatorial Optimization Problems, Sharlee Climer, Weixiong Zhang
All Computer Science and Engineering Research
Branch-and-bound and branch-and-cut use search trees to identify optimal solutions. In this paper, we introduce a linear search strategy which we refer to as cut-and-solve and prove optimality and completeness for this method. This search is different from traditional tree searching as there is no branching. At each node in the search path, a relaxed problem and a sparse problem are solved and a constraint is added to the relaxed problem. The sparse problems provide incumbent solutions. When the constraining of the relaxed problem becomes tight enough, its solution value becomes no better than the incumbent solution value. At this …