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Minimum entropy control of chaos via online particle swarm optimization method
, Article Applied Mathematical Modelling ; Vol. 36, Issue. 8 , 2012 , pp. 3931-3940 ; ISSN: 0307904X ; Salarieh, H ; Alasty, A ; Sharif University of Technology
Abstract
One of the recently developed approaches for control of chaos is the minimum entropy (ME) control technique. In this method an entropy function based on the Shannon definition, is defined for a chaotic system. The control action is designed such that the entropy as a cost function is minimized which results in more regular pattern of motion for the system trajectories. In this paper an online optimization technique using particle swarm optimization (PSO) method is developed to calculate the control action based on ME strategy. The method is examined on some standard chaotic maps with error feedback and delayed feedback forms. Considering the fact that the optimization is online, simulation...
Smart fault classification in HVDC system based on optimal probabilistic neural networks
, Article 2012 2nd Iranian Conference on Smart Grids, ICSG 2012, 23 May 2012 through 24 May 2012 ; May , 2012 , Page(s): 1 - 4 ; 9781467313995 (ISBN) ; Mobarake, A. S ; Gharehpetian, G. B ; Fathi, S. H ; Sharif University of Technology
IEEE
2012
Abstract
Optimal probabilistic neural network-based method has been porposed in this paper to identify different types of fault in high voltage direct current (HVDC) system. Probabilistic neural network is a type of artificial neural networks capable of approximating the optimal classifier. The particle swarm optimization is porposed to achive an optimal value of smoothing factor for PNN which is an important parameter. The main purpose of this paper is fast and accurate fault classification, for this purpose simple HVDC system has been evaluated under various fault type condition to examine the efficacy of the proposed method. The performance of the proposed method is investigated using...
Optimization of dynamic mobile robot path planning based on evolutionary methods
, Article 2015 AI and Robotics, IRANOPEN 2015 - 5th Conference on Artificial Intelligence and Robotics, 12 April 2015 ; April , 2015 , Page(s): 1 - 7 ; 9781479987337 (ISBN) ; Haghzad, S ; Shouraki, S. B ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
This paper presents evolutionary methods for optimization in dynamic mobile robot path planning. In dynamic mobile path planning, the goal is to find an optimal feasible path from starting point to target point with various obstacles, as well as smoothness and safety in the proposed path. Pattern search (PS) algorithm, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used to find an optimal path for mobile robots to reach to target point with obstacle avoidance. For showing the success of the proposed method, first they are applied to two different paths with a dynamic environment in obstacles. The first results show that the PSO algorithms are converged and minimizethe...
Developing a time series model based on particle swarm optimization for gold price forecasting
, Article Proceedings - 3rd International Conference on Business Intelligence and Financial Engineering, BIFE 2010, 13 August 2010 through 15 August 2010, Hong Kong ; August , 2010 , Pages 337-340 ; 9780769541167 (ISBN) ; Ghanbari, A ; Abbasian Naghneh, S ; Sharif University of Technology
2010
Abstract
The trend of gold price in the market is the most important consideration for the investors of the gold, and serves as the basis of gaining profit, so there are scholars who try to forecast the gold price. Forecasting accuracy is one of the most important factors involved in selecting a forecasting method. Besides, nowadays artificial intelligence (AI) techniques are becoming more and more widespread because of their accuracy, symbolic reasoning, flexibility and explanation capabilities. Among these techniques, particle swarm optimization (PSO) is one of the best AI techniques for optimization and parameter estimation. In this study a PSO-based time series model for the gold price...
Color quantization with clustering by F-PSO-GA
, Article Proceedings - 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010, 29 October 2010 through 31 October 2010 ; Volume 3 , 2010 , Pages 233-238 ; 9781424465835 (ISBN) ; Bahmani, Z ; Haratizadeh, S ; Sharif University of Technology
Abstract
Color quantization is a technique for processing and reduction colors in image. The purposes of color quantization are displaying images on limited hardware, reduction use of storage media and accelerating image sending time. In this paper a hybrid algorithm of GA and Particle Swarm Optimization algorithms with FCM algorithm is proposed. Finally, some of color quantization algorithms are reviewed and compared with proposed algorithm. The results demonstrate Superior performance of proposed algorithm in comparison with other color quantization algorithms
A hybrid PSO-SA algorithm for the travelling tournament problem
, Article European Journal of Industrial Engineering ; Volume 6, Issue 1 , 2012 , Pages 2-25 ; 17515254 (ISSN) ; Eshghi, K ; Shamsi, A ; Sharif University of Technology
Abstract
Sports scheduling has become an important area of applied operations research in recent years, since satisfying fans and teams' requests and revenues of a sports league and TV networks may be affected by quality of the league schedule. While this type of scheduling problem can be solved by mathematical methods and exact solutions are accessible, it computationally leads to hard problems. The travelling tournament problem (TTP) is defined as minimising total travelling distance for all teams in a league. In this study, a new mathematical model for the TTP with the no-repeater constraint is presented. In addition, a very fast hybrid metaheuristic algorithm is proposed, which combines particle...
Adaptive robust synchronization of chaotic systems using particle swarm optimization based controller
, Article Program and Abstract Book - 2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010, 8 September 2010 through 10 September 2010 ; September , 2010 , Pages 54-59 ; 9781424473120 (ISBN) ; Vatankhah, R ; Boroushaki, M ; Salarieh, H ; Alasty, A ; Sharif University of Technology
Abstract
In this paper, a robust control design strategy is introduced to synchronize two different chaotic systems. The controller is based on particle swarm optimization (PSO). Particle swarm optimization is a well-known evolutionary optimization algorithm inspired by organism behavior of birds flocking and fish schooling. Our control approach is based on defining a suitable cost function in such a way that minimizing it guarantees the control of system. Due to the nature of PSO algorithm, the designed controller is strongly robust. It is shown that the proposed controller can overcome the parameter uncertainty without any extra information about the system. Comparison of proposed method with...
Optimal design and operation of a photovoltaic–electrolyser system using particle swarm optimisation
, Article International Journal of Sustainable Energy ; Volume 35, Issue 6 , 2016 , Pages 566-582 ; 14786451 (ISSN) ; Maroufmashat, A ; Roshandel, R ; Sattari Khavas, S ; Sharif University of Technology
Taylor and Francis Ltd
Abstract
In this study, hydrogen generation is maximised by optimising the size and the operating conditions of an electrolyser (EL) directly connected to a photovoltaic (PV) module at different irradiance. Due to the variations of maximum power points of the PV module during a year and the complexity of the system, a nonlinear approach is considered. A mathematical model has been developed to determine the performance of the PV/EL system. The optimisation methodology presented here is based on the particle swarm optimisation algorithm. By this method, for the given number of PV modules, the optimal sizeand operating condition of a PV/EL system areachieved. The approach can be applied for different...
A Hybrid PSO-SA algorithm for the traveling tournament problem
, Article 2009 International Conference on Computers and Industrial Engineering, CIE 2009, 6 July 2009 through 9 July 2009, Troyes ; 2009 , Pages 512-518 ; 9781424441365 (ISBN) ; Eshghi, K ; Shamsi, A ; Sharif University of Technology
Abstract
Sports scheduling has become an important area of applied operationsresearch in recent years, since satisfying the fans and teams' requests andrevenues of a sports league and TV networks may be affected by the quality ofthe league schedule. While this type of scheduling problem can be solvedtheoretically by mathematical methods, it computationally leads to hardproblems. The Traveling Tournament Problem (TTP) is defined as minimizing totaltraveling distance for all teams in the league. In this study, a newmathematical model for the TTP with no-repeater constraint is presented. Inaddition, a very fast hybrid metaheuristic algorithm is proposed, which combinesParticle Swarm Optimization (PSO)...
A New Metaheuristic Algorithm Based on Particle Swarm Optimization for Discrete Time Resource Trade-off Problem
, M.Sc. Thesis Sharif University of Technology ; Kianfar, Farhad (Supervisor)
Abstract
In this research, a new metaheuristic algorithm is developed for solving the Discrete Time- Resource Trade off Problem in the field of project scheduling.In this problem ,a project contains activities interrelated by finish-start type precedence constraints and each has a specified work content and can be performed in different combinations of duration and resource requirement.Since the problem is NP-hard , the Particle Swarm Optimization is adopted due to minimization of the makespan subject to precedence relations and a single renewable resource. Basically PSO is used to solve continous problems and discrete problems have just begun to be solved by the discrete PSO.In proposed method,a...
Total fuel reduction via formation flights: a new approach to air-corridor path optimization
, Article AIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference ; 2014 ; Malaek, S. M. B ; Sharif University of Technology
Abstract
This paper presents a new approach to better utilize international air-corridors for formation flights. Using Particle Swarm Optimization, we show how different long-range flights can be brought together to form a formation. The idea serves both to increase international air-corridor capacities together and to decrease fuel consumption up to 8-10%. Case studies show that there are many places which such an approach could effectively be implemented to help cope with increase in fuel price as well as the demand for aerial transport of passengers and goods
An integrated mathematical programming model for a dynamic cellular manufacturing system with limited resources
, Article International Journal of Services and Operations Management ; Volume 37, Issue 1 , January , 2020 , Pages 1-26 ; Shamoradifar, M ; Akhavan Niaki, S. T ; Sharif University of Technology
Inderscience Enterprises Ltd
2020
Abstract
This paper proposes an integrated integer nonlinear programming model for a concurrent cell formation and production planning problem in a dynamic cell-manufacturing system (DCMS) with limited resources to setup cells and to procure machines. The proposed model seeks to minimise the total costs associated with the production planning and the cell construction and formation under a dynamic system. To validate the model, it is first converted to a linear programming. Then, a numerical example is presented based on which the branch and bound method is used to solve it employing the Lingo 8 software. Besides, due to NP-hardness of the problem, two meta-heuristic algorithms namely a GA and a PSO...
Adaptive neuro-fuzzy inference system based automatic generation control
, Article Electric Power Systems Research ; Volume 78, Issue 7 , 2008 , Pages 1230-1239 ; 03787796 (ISSN) ; Etemadi, A. H ; Sharif University of Technology
2008
Abstract
Fixed gain controllers for automatic generation control are designed at nominal operating conditions and fail to provide best control performance over a wide range of operating conditions. So, to keep system performance near its optimum, it is desirable to track the operating conditions and use updated parameters to compute control gains. A control scheme based on artificial neuro-fuzzy inference system (ANFIS), which is trained by the results of off-line studies obtained using particle swarm optimization, is proposed in this paper to optimize and update control gains in real-time according to load variations. Also, frequency relaxation is implemented using ANFIS. The efficiency of the...
A Weibull distributed deteriorating inventory model with all-unit discount, advance payment and variable demand via different variants of PSO
, Article International Journal of Logistics Systems and Management ; Volume 40, Issue 2 , 2021 , Pages 145-170 ; 17427967 (ISSN) ; Banerjee, T ; Shaikh, A. A ; Akhavan Niaki, S. T ; Bhunia, A. K ; Sharif University of Technology
Inderscience Publishers
2021
Abstract
The goal of this research is to formulate an inventory control problem of a single item with variable demand dependent on displayed stock level and selling price of the commodity. The item deteriorates based on a three-parameter Weibull distribution and advance payment is needed to purchase the item with the all-unit discount policy. Shortages are allowed partially and backlogged with the rate dependent on the length of customers' waiting time. The corresponding problem is formulated as a profit maximisation model. For solving this problem, four different variants of particle swarm optimisation (PSO) are utilised. Then, the application of the model is illustrated with the help of a numerical...
Optimal Placement of Automatic Switching Equipment in Radial Distribution Networks Based on Protective Coordination
, Article Journal of Electrical Engineering and Technology ; Volume 14, Issue 3 , 2019 , Pages 1127-1137 ; 19750102 (ISSN) ; Fotuhi Firuzabad, M ; Sharif University of Technology
Korean Institute of Electrical Engineers
2019
Abstract
Automatic switching equipment and protection devices (AS/PDs) play a fundamental role in radial power distribution networks. In this paper, a new hybrid method is presented to determine the optimal number, types, and locations of AS/PDs based on protective coordination. When a short circuit fault occurs in a medium voltage distribution network (MV feeder), AS/PDs such as relays, fuses, auto-reclosers and sectionalizers can be employed to disconnect the faulty part from the healthy area. The use of automatic switches at proper locations can significantly decrease system interruptions. The costs of investment, maintenance, and unsupplied energy are considered in the cost function. This...
Optimized design of the district heating system by considering the techno-economic aspects and future weather projection
, Article Energies ; Volume 12, Issue 9 , 2019 ; 19961073 (ISSN) ; Saffari Pour, M ; Hakkaki Fard, A ; Sharif University of Technology
MDPI AG
2019
Abstract
High mountains and cold climate in the north-west of Iran are critical factors for the design of optimized District Heating (DH) systems and energy-efficient buildings. It is essential to consider the Life Cycle Cost (LCC) that includes all costs, such as initial investment and operating costs, for designing an optimum DH system. Moreover, considering climate change for accurately predicting the required heating load is also necessary. In this research, a general optimization is carried out for the first time with the aim of a new design concept of a DH system according to a LCC, while considering all-involved parameters. This optimized design is based on various parameters such as ceiling...
Optimized design of the district heating system by considering the techno-economic aspects and future weather projection
, Article Energies ; Volume 12, Issue 9 , 2019 ; 19961073 (ISSN) ; Saffari Pour, M ; Hakkaki Fard, A ; Sharif University of Technology
MDPI AG
2019
Abstract
High mountains and cold climate in the north-west of Iran are critical factors for the design of optimized District Heating (DH) systems and energy-efficient buildings. It is essential to consider the Life Cycle Cost (LCC) that includes all costs, such as initial investment and operating costs, for designing an optimum DH system. Moreover, considering climate change for accurately predicting the required heating load is also necessary. In this research, a general optimization is carried out for the first time with the aim of a new design concept of a DH system according to a LCC, while considering all-involved parameters. This optimized design is based on various parameters such as ceiling...
Nonlinear molecular based modeling of the flash point for application in inherently safer design
, Article Journal of Loss Prevention in the Process Industries ; Volume 25, Issue 1 , January , 2012 , Pages 40-51 ; 09504230 (ISSN) ; Bagheri, M ; Heidari, F ; Fazeli, A ; Sharif University of Technology
2012
Abstract
New chemical process design strategies utilizing computer-aided molecular design (CAMD) can provide significant improvements in process safety by designing chemicals with required target properties and the substitution of safer chemicals. An important aspect of this methodology concerns the prediction of properties given the molecular structure. This study utilizes one such emerging method for prediction of a hazardous property, flash point (FP), which is in the center of attention in safety studies. Using such a reliable data set comprising 1651 organic and inorganic chemicals, from 79 diverse material classes, and robust dynamic binary particle swarm optimization for the feature selection...
Geometrical optimization of half toroidal continuously variable transmission using particle swarm optimization
, Article Scientia Iranica ; Volume 18, Issue 5 , 2011 , Pages 1126-1132 ; 10263098 (ISSN) ; Saadat Foumani, M ; Boroushaki, M ; Ekhtiari, M ; Dehghani, M ; Sharif University of Technology
Abstract
The objective of this research is geometrical optimization of half toroidal Continuously Variable Transmission (CVT) in order to achieve high power transmission efficiency. The dynamic analysis of CVT is implemented and contact between the disk and the roller is modeled viaelastohydrodynamic (EHL) lubrication principles. Computer model is created using geometrical, thermal and kinetic parameters to determine the efficiency of CVT. Results are compared by other models to confirm the model validity. Geometrical parameters are obtained by means of Particle Swarm Optimization (PSO) algorithm, while the optimization objective is to maximize the power transmission efficiency. Optimization was...
Proposing a Method for Ranking Nodes in Complex Networks
, M.Sc. Thesis Sharif University of Technology ; Mahlooji, Hashem (Supervisor) ; Safaei Semnani, Farshad (Co-Supervisor)
Abstract
A distinct viewpoint is adopted by each centrality to analyze a network and rank its nodes. This study aims to introduce a novel centrality that ranks the nodes of a network more effectively. In this respect, a function of five centralities, namely betweenness, closeness, agent vector, degree, and Katz, is introduced to maximize the connected components of the network after ranking its nodes and deleting the first twenty ones. The proposed centrality functions better than the other mentioned centralities. Among the networks simulated to evaluate the centrality, it functions better in Erdos-Renyi and small-world networks, both of whom being based on the Poisson degree distribution, and...