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Particle swarm optimization




A particle swarm optimization approach for training artificial neural networks with uncertain data
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ABSTRACT Artificial neural networks are powerful tools to learn functional relationships between data. They are widely used in engineering applications. Recurrent neural networks for fuzzy data have been introduced to map uncertain structural processes with 

Hybrid Particle Swarm Optimization Based Reactive Power Optimization
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ABSTRACT in this paper, a solution to reactive power optimization problem with a Hybrid particle swarm optimization (PSO) approach. The algorithm changed the stochastic initialization and adopted a principle of particle searching by itself. Several particles in 

Synthesis of Non Uniform Linear Array using Chebyshev Polynomial and Particle Swarm Optimization
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ABSTRACT In the present work a new approach for reducing the side lobe level of amplitude tapered and uniformly spaced linear array using Chebyshev polynomial and Particle Swarm Optimization (PSO) is presented. The array geometry synthesis is first formulated as an 

Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization
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ABSTRACT Vector evaluated particle swarm optimization (VEPSO) is a multi-swarm variant of the traditional particle swarm optimization (PSO) algorithm applied to multi-objective problems (MOPs). Each subobjective is allocated a single sub-swarm and knowledge 

Distributed Particle Swarm Optimization for Limited Time Adaptation in Autonomous Robots
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ABSTRACT Evaluative techniques offer a tremendous potential for on-line controller design. However, when the optimization space is large and the performance metric is noisy, the time needed to properly evaluate candidate solutions becomes prohibitively large and, as a 

GP-Based Adaptable Evolutionary Particle Swarm Optimization
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Extend vanilla particle swarm optimization (PSO) to avoid premature convergence Increase diversity in the swarm Add evolution to PSO Encourage particle exploration by having a unique, adaptive velocity update equation Continuously evolved using genetic programming (GP) Give 

Guide Objective Assisted Particle Swarm Optimization and Its Application to History Matching
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As is typical of metaheuristic optimization algorithms, particle swarm optimization is guided solely by the objective function. However, experience with separable and roughly separable problems suggests that, for subsets of the decision variables, the use of alternative 'guide 

Comparison of Dynamic Differential Evolution and Asynchronous Particle Swarm Optimization for Inverse Scattering
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ABSTRACT The shape reconstruction of a perfectly conducting cylinder buried in slab medium by dynamic differential evolution (DDE) and asynchronous particle swarm optimization (APSO) are investigated. Finite-difference timedomain (FDTD) is employed for the 

Particle Swarm Optimization
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idea: map discrete search space to continuous space, use a PSO, map result back to discrete space. Binary Particle Swarm Optimization – position is discrete, velocity is continuous. 

Particle Swarm Optimization
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Optimal Number and Location of DGs to Improve Power Quality of Distribution System UsingParticle Swarm Optimization
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ABSTRACT Distributed Generators (DGs) are now commonly used in distribution systems to reduce the power disruption in the power system network. Due to the installation of DGs in the system, the total power loss can be reduced and voltage profile of the buses and 

Solve Traveling Salesman Problem Using Particle Swarm Optimization Algorithm
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ABSTRACT The traveling salesman problem (TSP) is one of the most widely studied NP-hard combinatorial optimization problems and traditional genetic algorithm trapped into the local minimum easily for solving this problem. Particle Swarm Optimization (PSO) algorithm was 

Hepatitis Disease Diagnosis Using Hybrid Case Based Reasoning and Particle Swarm Optimization
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Correct diagnosis of a disease is one of the most important problems in medicine. Hepatitis disease is one of the most dangerous diseases that affect millions of people every year and take man's life. In this paper, the combination of two methods of PSO and CBR (case- 

A Greedy Particle Swarm Optimization Strategy for T-way Software Testing
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ABSTRACT Combinatorial strategies are used as methods or mechanisms for selecting test cases using combinations of test input parameters. We normally want that all t-way combinations of parameter values occur in the test suit at least once. Artificial intelligence 

A hybrid genetic algorithm and particle swarm optimization based fuzzy times series model for TAIFEX and KSE-100 forecasting
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ABSTRACT In this paper we proposed a new evolutionary fuzzy time series forecasting model for Taiwan Futures Exchange (TIAFEX) and Karachi Stock Exchange (KSE-100) forecasting. Our proposed method is based on two-factor high order fuzzy logical relation groups. A 

Research Article Optimization of GMAW Process Parameters Using Particle Swarm Optimization
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To improve the corrosion-resistant properties of carbon steel cladding process is usually used. It is a process of depositing a thick layer of corrosion resistant material-over carbon steel plate. Most of the engineering applications require high strength and corrosion 

Optimal Power Flow by Particle Swarm Optimization for Reactive Loss Minimization
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ABSTRACT Optimal Power Flow (OPF) problem in electrical power system is considered as a static, non-linear, multi-objective or a single objective optimization problem. As the power industrial companies have been moving into a more competitive environment, OPF has 

Graphical image classification combining an evolutionary algorithm and binary particle swarm optimization
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ABSTRACT Biomedical journal articles contain a variety of image types that can be broadly classified into two categories: regular images, and graphical images. Graphical images can be further classified into four classes: diagrams, statistical figures, flow charts, and tables. 

Design Of Particle Swarm Optimization Based Pi Controller For An Isolated Wind-Diesel Hybrid Power System With Superconducting Magnetic Energy Storage
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ABSTRACT A design of particle swarm optimization based PI controller for an isolated wind- diesel hybrid power system with superconducting magnetic energy storage unit is proposed in this work. The hybrid power system is normally equipped with a control system, which 

Using modified fuzzy particle swarm optimization algorithm for parameter estimation of surge arresters models
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ABSTRACT Accurate modeling and parameters identification of Metal Oxide Surge Arrester (MOSA) are very important for arrester allocation, systems reliability and insulation coordination studies. Several models with acceptable accuracy have been proposed to 

Applications of Finite Element Methods and Discrete Particle Swarm OptimizationAlgorithms in Design of Locked Compression Plates
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ABSTRACT Locked compression plates have been widely used for the treatment of diaphyseal femoral fractures. The purpose of this study was to discover the best screw configurations in the twelve-hole bone plate by using a biomechanical optimization 

Traffic Sign Recognition by Color Filtering and Particle Swarm Optimization
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ABSTRACT In this paper a comprehensive approach to traffic sign detection and recognition is proposed. An RGB roadside image is acquired. Color filtering and segmentation is used to detect the boundary of traffic sign in binary mode. At the feature extraction stage, the RGB 

Multi-objective optimization of vehicle crashworthiness using a new particle swarm based approach
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ABSTRACT Vehicle crashworthiness is an important issue to ensure passengers safety and reduce vehicle costs in the early design stage of vehicle design. The aim of the crashworthiness design is to provide an optimized structure that can absorb the crash 

Comparative Study of Firefly Algorithm and Particle Swarm Optimization for Noisy Non-Linear Optimization Problems
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ABSTRACT There are various noisy non-linear mathematical optimization problems that can be effectively solved by Metaheuristic Algorithms. These are iterative search processes that efficiently perform the exploration and exploitation in the solution space, aiming to 

Boundary Handling Approaches in Particle Swarm Optimization
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ABSTRACT In recent years, Particle Swarm Optimization (PSO) methods have gained popularity in solving single objective and other optimization tasks. In particular, solving constrained optimization problems using swarm methods has been attempted in past but arguably 

A Novel Membrane Algorithm Based on Particle Swarm Optimization for Solving Broadcasting Problems
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ABSTRACT This paper presents the application of membrane algorithms to broadcasting problems, which are regarded as NP-hard combinatorial optimization problems. A membrane algorithm, called HPSOPS, is proposed by appropriately combining membrane 

Constricted Particle Swarm Optimization based Algorithm for Global Optimization
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ABSTRACT Particle Swarm Optimization (PSO) is a bioinspired meta-heuristic for solving complex global optimization problems. In standard PSO, the particle swarm frequently gets attracted by suboptimal solutions, causing premature convergence of the algorithm and 

Restoration of epipolar line based on multi-population cooperative particle swarm optimization
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A high precision epipolar line restoration algorithm based on Multi-population Cooperative PSO (MCPSO) is proposed in this paper. It adopts Harris operator to extract corner point and finishes gray cross-correlation matching. Firstly, the fundamental matrix initial value 

Improving local and regional earthquake locations using an advance inversion Technique:Particle swarm optimization
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ABSTRACT The estimation of the hypocentral parameters in seismology has remained as one of the beststudied and challenging problem. In this paper a simple procedure has been presented to obtain the improved locations of local and regional earthquakes with 

Query Optimization in Grid Databases Using with Particle Swarm Optimization
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ABSTRACT Query Optimization is one of fundamental problems in grid databases. Especially, when the databases are replicated and stored in different nodes of the network. with regard to the point that query in grid databases can be processed in different sites, The problem 

Color Image Segmentation by Particle Swarm Optimization
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ABSTRACT This Bachelor thesis will examine the use of the method of Particle Swarm Optimization (PSO) applied to the task of clustering the pixels of an image. In particular, we will examine if the results of the so-called MEPSO algorithm of Das et al.[7] can be 

Bacterial Foraging Particle Swarm Optimization Algorithm Based Fuzzy-VQ Compression Systems
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ABSTRACT This study proposes a novel bacterial foraging swarm-based intelligent algorithm called the bacterial foraging particle swarm optimization (BFPSO) algorithm to design vector quantization (VQ)-based fuzzy-image compression systems. It improves compressed 

Optimal Location of FACTS for Voltage stability using Modified Particle Swarm Optimization
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ABSTRACT Voltage security is a crucial issue in power systems especially under heavily loaded condition. In the new scheme of restructuring, voltage stability problem becomes even more serious. In order to solve the kind of thorny problem, experts employ various 

Assessment of Power Market for Carbon Trading by Modified Particle Swarm Optimization
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ABSTRACT In recent year, the awareness of environmental protection has made the power dispatch model on longer purely economical-oriented. This paper presents a modified particle swarm optimization (MPSO) approach to solve the Unit Commitment (UC) problem 

Agent based Particle Swarm Optimization (PSO) for Secondary Load Frequency Control in Islanded Operation
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Optimization (PSO) for secondary load frequency controller using software-in-the-loop (SIL) environment. Real-time digital simulator (RTDS) is used for modelling the power system, while agent based PSO LFC algorithm is developed in JAVA for communicating with 

Parameters identification of UCAV flight control system based on predator-prey particle swarm optimization
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ABSTRACT With the improvement of the aircraft flight performance and development of computing science, uninhabited combat aerial vehicle (UCAV) could accomplish more complex tasks. But this also put forward stricter requirements for the flight control system, 

SIMULATION AND PARAMETER OPTIMIZATION OF GMAW PROCESS USING NEURAL NETWORKS AND PARTICLE SWARM OPTIMIZATION ALGORITHM
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To improve the corrosion resistant properties of carbon steel usually cladding process is used. It is a process of depositing a thick layer of corrosion resistant material over carbon steel plate. Most of the engineering applications require high strength and corrosion 

Rural land use spatial allocation in the semiarid loess hilly area in China: Using a Particle Swarm Optimization model equipped with multi-objective optimization 
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ABSTRACT Semiarid loess hilly areas in China are enduring a series of environmental conflicts between urban expansion, cultivated land conservation, soil erosion and water shortage, and require land use allocation to reconcile these environmental conflicts. We argue that 

A new particle filter based on organizational adjustment particle swarm optimization
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ABSTRACT A dynamic organizational adjustment particle swarm optimization-based particle filter algorithm (OAPSO-PF) is presented in this paper in order to solve the problem of low precision and complicated calculation of particle filter based on particle swarm 

A cultural algorithm based particle swarm optimization approach to linear brushless DC motor PID controller
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This paper presents a new hybrid Cultural Algorithm (CA) based particle swarm optimization (PSO) that converges to a significantly more accurate solution then existing particle swarm optimization and which has also been applied to the linear brushless DC motor PID 

Modified particle swarm optimization with time varying velocity vector
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ABSTRACT Particle Swarm Optimization (PSO) is a population-based computational intelligence paradigm; it originated as a simulation of simplified social model of birds in a flock. The PSO algorithm is easy to implement and has been proven to be very competitive 

THE APPLICATION OF PARTICLE SWARM OPTIMIZATION TO PASSIVE POWER FILTER DESIGN FOR 3PHASE 4-WIRE SYSTEM WITH BALANCE AND
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This paper proposes an optimal design method for Passive power filters (PPFs) power filters set at high voltage levels to satisfy the requirements of Harmonic filtering and reactive power compensation. Multi objective Optimization models for PPF were constructed. Detuning 

Optimization of Vehicle Routing Problem with Simultaneous Delivery and Pickup using Nested Particle Swarm Optimization
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ABSTRACT The development of reverse logistics in supply chain management has brought improvement in the vehicle routing problem. Vehicle routing problem with simultaneous delivery and pickup (VRPSDP) is an extension of well known classical vehicle routing 

Fuzzy Adaptive Particle Swarm Optimization for Confronting Two-Pair Primer Design
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ABSTRACT PCR-CTPP (Polymerase chain reaction with confronting two-pair primers) is a simple SNP genotyping method with time-and cost-effective. Many SNPs have been successfully genotyped by PCR-CTPP. However, the design of feasible PCR-CTPP primer 

Research of Particle Filter Based on Immune Particle Swarm Optimization
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ABSTRACT Particle degradation, as a main limitation of particle filter, can be resolved by making use of common re-sampling method, but it always bring about the problem of sample dilution. The Immune Particle Swarm Optimization (TMPSO) was introduced into particle 

Solving two-dimensional packing problem using particle swarm optimization
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Particle swarm optimization is one of the evolutionary computations which is inspired by social behavior of bird flocking or fish schooling. This research focuses on the application of the particle swarm optimization to two-dimensional packing problem. Packing problem is a 

New clone particle swarm optimization-based particle filter algorithm and its application
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ABSTRACT A new particle filter algorithm based on new Clone particle swarm optimization (NCPSO-PF) is presented in this paper in order to solve the problem of low precision and complicated calculation of particle filter based on particle swarm optimization algorithm ( 

Particle Swarm Optimization Techniques for Finding Optimal Mixture Designs
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ABSTRACT Particle Swarm Optimization (PSO) is a meta-heuristic algorithm that has been shown to be successful in finding the optimum solution or close to the optimum for a wide variety of real and complicated optimization problems in engineering and computer 

A modified particle swarm optimization algorithm and its application to the multiobjective FET modeling problem
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ABSTRACT This paper introduces a modified particle swarm algorithm to handle multiobjective optimization problems. In multiobjective PSO algorithms, the determination of Pareto optimal solutions depends directly on the strategy of assigning a best local guide to each particle. 

A self-guided Particle Swarm Optimization with Independent Dynamic Inertia Weights Setting on Each Particle
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ABSTRACT In the standard PSO algorithm, each particle in swarm has the same inertia weight settings and its values decrease from generation to generation, which can induce the decreasing of population diversity. As a result, it may fall into the local optimum. Besides, 

Application of Binary Particle Swarm Optimization in Cryptanalysis of DES
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Feistel cipher based cryptographic algorithms like DES are very hard for the cryptanalysts as their internal structures are based on high nonlinearity and low autocorrelation. It has been shown that the traditional and brute-force type attacks are insignificant for the 

A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor networks
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ABSTRACT The wireless sensor networks have long been an attractive field to the researchers and scientists for its ease in deployment and maintenance. In this research, we focus on the maximization of network lifetime which has become a critical issue in sensor networks. 

A Study of Sweep Algorithm Based Candidate List Performance in Capacitated Vehicle Routing Problem using Nested Particle Swarm Optimization
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ABSTRACT The vehicle routing problem needs to determine optimum set of vehicle routes under various constraints and classified as NP-Complete problem. The problem had been solved using exact solution, heuristics and metaheuristics and needs further attention to 

Vibration Based Structural Damage Detection Technique using Particle Swarm Optimizationwith Incremental Swarm Size
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ABSTRACT A simple and robust methodology is presented to determine the location and amount of crack in beam like structures based on the incremental particle swarm optimization technique. A comparison is made for assessing the performance of standard 

Portfolio selection with an alternative measure of risk: Computational performances of particle swarm optimization and genetic algorithms
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In the classical model for portfolio selection the risk is measured by the variance of returns. Recently several alternative measures of risk have been proposed. In this contribution we focus on a class of measures that uses information contained both in lower and in upper 

New chaos-particle swarm optimization algorithm
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ABSTRACT The original particle swarm optimization (PSO) algorithm has the advantages of fast convergence, but with the shortcoming of premature and local convergence. To overcome this problem, a new chaos-particle swarm optimization algorithm was presented 

Improved Particle Swarm Optimization for Constrained Optimization
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ABSTRACT In this paper, we present an improved particle swarm optimization (PSO) algorithm to solve constrained optimization problems. The proposed approach, called MPSO, employs a novel mutation operator to enhance the global search ability of PSO. In order to deal 

Breaking of Simplified Data Encryption Standard Using Binary Particle Swarm Optimization
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ABSTRACT Cryptanalysis of cipher text by using evolutionary algorithm has gained so much interest in last few years. This paper demonstrates the use of Binary Particle Swarm Optimization with bit change mutation operator for cryptanalysis of S-DES and then 

Particle Swarm Optimization Based Method for Optimal Placement and Estimation of DG Capacity in Distribution Networks
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ABSTRACT This paper presents optimal placement and estimation of distributed generation (DG) capacity using Particle Swarm Optimization (PSO) approach in the radial distribution systems to reduce the real power losses and to gain voltage profile improvement. 


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