modified PSO
New Intelligent Classification Techniques for Diagnosis of Diabetes Mellitus based on Modified PSO
... In this section, we present the performance evaluation methods used to evaluate the proposed method. Finally, we give the experimental results and discuss our observations from the obtained results. The proposed ...
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Modified PSO: A Bio inspired Algorithm for Color and Gray Level Enhancement
... In this paper we concluded that modified PSO is again relevant to its image processing application. Images (a) represent original image, (b) is histogram equalized image, (c) represents enhance image BY ...
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MFS PSO: A Modified PSO Method for Optimizing Gene Selection
... a modified PSO algorithm, Minimized Feature Space (MFS) Particle Swarm Optimization to optimize feature ...the modified PSO approach we propose a new method which controls a particle’s ...
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Distribution harmonic state estimation based on a modified PSO considering parameters uncertainty
... a Modified PSO (MPSO) is proposed for a practical DHSE including wind turbines ...primary PSO loop, a secondary PSO loop, and applying the mutation ...
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Modified PSO Algorithm for Real-Time Energy Management in Grid-Connected Microgrids
... the PSO consists in altering the cost function to better model the battery charging/discharging ...regularised PSO algorithm with the proposed cost function, which can be adjusted according to the need of ...
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A modified PSO with fuzzy inference system for solving the planar graph coloring problem
... optimization problems that has been considered, the four-coloring problem has been a domain of research for many years and researchers proposed many kinds of method for finding the best solution such as Genetic ...
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Power System Stability Enhancement using SVC with Modified PSO Tuned PID Controller
... The paper presents a modified particle swarm optimization algorithm to optimize the PID controller parameters for boosting the power system stability. The studied power system is expressed by SMIB system with SVC ...
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Parameter Identification Based on a Modified PSO Applied to Suspension System
... of PSO by variable parameters. A linearly decreasing weight into PSO was introduced to balance the global exploration and the local exploitation in ...[17]. PSO was further developed with ...
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Optimal Design of Single-Phase Induction Motor Using MPSO and FEM
... of PSO greatly depends on the selection of its parameters and if they are not selected properly the optimization process may trap in local optimum points ...the Modified PSO (MPSO), the parameters ...
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A NOVEL APPROACH TO GENERATE TEST CASES FOR COMPOSITION & SELECTION OF WEB SERVICES BASED ON MUTATION TESTING
... The computer-aided diagnosis systems (CAD) are widely used for clinical diagnosis and treatment. Content-based image retrieval (CBIR) of medical images, according to its domain specific image features, is a valuable tool ...
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An Improved PSO Algorithm with Decline Disturbance Index
... A modified PSO with a decline disturbance index based on basic particle swarm optimization was presented in this ...The modified algorithm effectively improved the deficiencies of the prone to local ...
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On the max - ``Fuzzy Or'' composition fuzzy inequalities systems
... , A modified PSO algorithm for linear optimization problem subject to the generalized fuzzy relational inequalities with fuzzy constraints (FRI-FC), Information Sciences 418–419 (2017) 3[r] ...
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Power Efficient Scheduling Scheme based on PSO for Real Time Systems
... The modified PSO approach proposed in this paper, simply modifies the initialization step in the PSO procedure by assigning priorities for each task and then incorporating a Min-min solution ...
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A Modified Approach for Face Recognition using PSO and ABC Optimization
... Since PSO constitutes of a swarm that moves around in search of space and thereby looking for the best possible solution, it does not use the gradient of the problem which needs to be ...
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A PSO-Based Modified Counterpropagation Neural Network Model for Online Handwritten Character Recognition
... work, PSO is integrated with Modified Counter Propagation Neural Network (MCPN) to enhancement the performance of the classifier in terms of recognition accuracy and recognition ...and PSO-based MCPN ...
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Modified Memory Convergence with Fuzzy PSO
... Particle swarm optimization (PSO) is a population based stochastic optimization technique [6,7] inspired by social behavior of bird flocking or fish schooling. This is modeled by particles in multidimensional ...
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Particle Swarm Optimization: Technique, System and Challenges
... of PSO is necessary to do to know how far its development, its advantages and disadvantages and how much use this method to settle a ...of PSO has made about what is PSO [1], [2], those describe ...
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Solving a non-linear optimization problem in the presence of Yager-FRE constraints
... q = 0.1 in relation (2) for the current GA. Moreover, in order to compare the proposed algorithm with max-min GA [41], we modified all the definitions used in the current method based on the minimum t-norm. For ...
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Congestion management optimization in electric transmission system
... At the initial moment, the particle positions as well as their velocities are assigned randomly. As PSO is an evolutionary method, particles flying in the multidimensional space approach the optimum from iteration ...
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Photovoltaic Burp Charge System on Energy-Saving Configuration for PV Systems under Different Scenario
... situation. PSO works efficiently in multivariable problem with multiple ...a modified particle swarm optimization (PSO) algorithm can improve its ...called PSO has been employed for the the ...
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