particle swarm

Particle swarm optimization is an extremely simple algorithm that seems to be effective for optimizing a wide range of functions.

It used to solve the problem that Particle Swarm Optimization(PSO) easily falls into a local extremum.

Task assignment problem is a typical NP problem. Particle Swarm Optimization (PSO) algorithm was used to solve task assignment problem.

Theory analysis of particle swarm optimization is always an important research topic.

Classification is one tasks of data mining, using particle swarm optimization in classification especially classification rule extraction.

To this problem, this paper proposed one kind of method to choose the parameters of the SVM by particle swarm optimization algorithm (PSO).

The particle swarm optimization algorithm which has slow convergence rate and was easily trapping in local optimum was improved.

This new algorithm applies particle swarm optimization (PSO) to design the CNN templates to identify the edge of a nucleated cell.

Particle Swarm Optimization (PSO) algorithm is a powerful method to find the extremum of a continuous numerical function.

On this basis, through particle swarm optimization algorithm the initial weights of the network is optimized.

Finally the particle swarm optimization combined with immune clone strategy is used for calculating the model parameters.

Particle swarm optimization (PSO) is a good inversion method with characterizing simple algorithm, fast convergence, and easy operation.

Another is to examine faults of asynchronous Motors in terms of BP neural network based on Particle Swarm Optimization(PSO).

NH Particle Swarm Optimization layout optimization algorithm and its application.

Particle swarm optimization is firstly applied to optimize a three level voltage pulse width modulation inverter in this paper.

To solve unit commitment (UC) an improved particle swarm optimization algorithm is proposed, in which greedy search is embedded.

Particle swarm optimization is evolutionary computation technique. It came of the research on bird flock preying behavior.

Then, the problem was solved by particle swarm optimization algorithm (PSO) after elimination of the constraint equations.

Therefore, in this paper, three different hypotheses are employed investigate the stability condition of particle swarm optimization.

In this paper, a particle swarm optimizer is implemented and compared to a genetic algorithm for phased array .

So the optimal cluster center can be found through mutation particle swarm optimization.

Particle swarm optimization (PSO) algorithm is easy to be trapped into local minima in optimizing multimodal function.

Considering the stronger search ability of Particle Swarm Optimization(PSO), this paper introduces a PSO covering algorithm.

The parameters and thresholds of classifiers are optimized by improved Particle Swarm Optimization(PSO) algorithm.

A hybrid particle swarm and tabu search optimization algorithm with fuzzy technology was presented to solve the optimization model.

Space division particle swarm optimization is proposed to solve the high-dimensional numerical optimization problem in this paper.

Particle swarm optimization is one of the most important algorithms of swarm intelligence.

Particle Swarm Optimization (PSO for short) is a evolutionary algorithm with simple operations and few parameters.

KDH, Particle Swarm Optimization with Mutation Operator e-book particle swarm optimization algorithm.

This paper introduces the machine learning procedure of training support vector machine by using linear particle swarm optimization.

Particle Swarm Optimization is used to design the nonholonomic motion planning algorithm of the unicycle.

A method to evaluate spatial straightness errors adopting particle swarm optimization (PSO) is proposed.

Genetic algorithm (GA) and particle swarm optimization (PSO) are taken for computing the error and compared with BFGS method.

The reasons of premature convergence of Particle Swarm Optimization (PSO) Algorithm were analyzed.

The approach divided the exploring region into several sub-regions, and then used the particle swarm to depth-first search the sub-regions.

It uses Particle Swarm Optimization(PSO) algorithm to search the optimized partial contents which is the most similar in two documents.

Two new hybrid particle swarm optimization algorithms are proposed in this thesis to solve the flow-shop scheduling problem .

An enhanced particle swarm optimization algorithm was proposed to optimize the secondary cooling of billet.

An improved particle swarm optimization algorithm is used to optimize the circuit parameters that control the output strength.

A discrete particle swarm optimization algorithm is designed to tackle the Traveling Salesman Problem.

A new method, particle swarm optimization(PSO) algorithm, is adopted to locate the non-circular critical slip surfaces of slopes.

Finally, the paper used particle swarm optimized neural network into fault pattern recognition.

First, we discuss the convergence of particle swarm optimization and artificial immune system.

The component and heat treatment parameters are optimized by Particle Swarm Optimization(PSO).

For optimization of algorithm, Particle Swarm Optimization (PSO) was utilized.

Finally, a modified discrete particle swarm optimization algorithm (DPSO) is adopted to solve collation generation problem.

For the bilevel programming model, this paper designs a heuristic solution algorithm based on particle swarm optimization technique.

Particle Swarm Optimization (PSO) algorithm for solving multiple Nash equilibrium solutions of bimatrix game is presented in this paper.

Particle swarm algorithm is a new optimization technology. Its idea comes from the theory of artificial life and evoking calculation.

A discrete particle swarm optimization(DPSO) algorithm was put forward for multi-UCAV cooperation mission assignment problem.

An improved Quantum-behaved Particle Swarm Optimization (QPSO) for multi-peaks functions optimization was proposed.

In this dissertation, a self-adjusted particle swarm optimization is proposed to solve this problem.

A novel hybrid particle swarm optimization (PSO) based on adaptive population mutation and individual annealing operation was developed.

Particle Swarm Optimization with some simple improvement is designed to solve these models.

The particle swarm classifier is designed for radar target recognition in remote images.

Finally, a suit size of particle swarm will exert the immune characteristic easily.

The improved particle swarm optimization algorithm is applied to path planning problem in 3-D space.

Through this research, the paper give two modified particle swarm algorithms.

The particle swarm optimization is applied color quantization of color image in this paper.

In the example, some improvement for the basic particle swarm algorithm was made.

The improved particle swarm optimization algorithm is used in the economic load dispatch(ELD) problems of power system.

A new method of public traffic line network optimization is presented by particle swarm algorithm.

This paper demonstrates that using particle swarm optimization approach to solve optimal location of supermarkets based on GIS.

This paper proposes a image restoration method based on particle swarm optimization and simulated annealing algorithm.

By adopting the particle swarm algorithm the optimal solution on the layout of composite material aerofoil structure was carried out.

Particle Swarm Optimization (PSO) is a new evolutionary computation technique based on swarm intelligence.

Based on the theory of swarm intelligence, an improved particle swarm optimization (IPSO) is put forward.

This paper presents a new polygonal approximation approach based on the particle swarm optimization (PSO) algorithm.

Discrete Particle Swarm Optimization(DPSO) algorithm was proposed for no-wait flow shop scheduling problem with makespan criterion.

An optimization scheme of analog filter design based on the particle swarm optimization (PSO) algorithm are proposed.

However, the standard Particle Swarm Optimization is easy to fall into local optimum, and slow convergence.

A structural damage identification method based on the support vector machine and the particle swarm algorithm was proposed.

A multi-objective particle swarm optimization algorithm based on online elite archiving is proposed.

This paper will give a scheme of intelligent test paper based on the estimation of distribution of discrete particle swarm algorithm.

Based on analyzing algorithm of particle swarm optimization(PSO), the algorithm of vector particle swarm optimization(VPSO) is proposed.

Particle swarm optimization (PSO) is described and analyzed; and it is applied to calibrate Xin'anjiang model.

This paper presents a multi-objective quantum Particle Swarm Optimization(PSO) based on game theory.

Besides, a new methodology based on Quarter-Discrete Particle Swarm Optimization is also developed to optimize DNA encoding.

And it mixes the core of group particle swarm algorithm with improved formula algorithm.

A new hybrid clustering algorithm based on particle swarm optimization and FCM algorithm is proposed.

This paper presents an improved particle swarm optimization algorithm based on P2P streaming media data scheduling method.

The design of computational code word based on particle swarm optimization is discussed.

A grey system prediction PID control scheme based on particle swarm optimization is developed for muluinput-multi-output systems.

This paper proposes a particle swarm optimization based on local and global combined search.

A simultaneous optimization method is introduced, which is based on Improved Discrete Particle Swarm Optimization.

As the ant colony algorithm can not use in continuous spaces, an improved ant colony algorithm by particle swarm optimization is proposed.

KDH a new improved particle swarm algorithm.

Standard particle swarm algorithm is easy to fall into local optimum.

In order to approach an optimal solution for NoC mapping, the chaotic discrete particle swarm optimization (DPSO) algorithm is adopted.

A particle swarm optimization algorithm source code, this is a VB source languages, it is practical.

A particle swarm optimization algorithm source code, this is a VB source languages, it is practical.

In order to improve performances of fuzzy neural networks (FNN), a method of training FNN using particle swarm optimizers (PSO) is proposed.

For locating the critical failure surface, the particle swarm or the harmony method is used, which is an upper bound approach.

Uses the adaptive discrete particle swarm algorithm to learn the similar kernel matrix.

Improved Particle Swarm Optimization with Its Applications to Parameter Optimization of High Temperature Superconducting Cables

Study of the Particle Swarm Optimization Algorithm and Its Parameters Setting

Hybrid Particle Swarm Optimization Algorithm Used for Design of Soil-Nail Bracing

The Particle Swarm Optimization Algorithm and Its Application in Design Optimization of a Mini-UAV

A Study of Loess Collapsibility by Combining Least Squares Support Vector Machines with Particle Swarm Optimization Algorithm

Study of Probabilistic Available Transfer Capability by Improved Particle Swarm Optimization

Improved Particle Swarm Optimization Algorithm and Its Application in Power System Transfer Capability Calculation

Parameter identification; damage identification; wavelet packet; Hilbert transform; RBF neural network; particle swarm algorithm;

Chaos particle swarm optimization algorithm and its application in biochemical process dynamic optimization

Application of Particle Swarm Optimization with Adaptive Mutation to Job Shop Scheduling Problem and Its Software Implementation

Adaptive particle swarm optimization based predicted control algorithms and its application in balance control of heater bypass

Particle swarm optimization algorithm and its application in extracting roots of complicated chemical equations

Application of an Enhanced Particle Swarm Optimization Algorithm for Protection Relay Setting Coordination

Application of Two-Stage Particle Swarm Optimization Algorithm in Optimized Dispatching of Hydropower Station Group

Conjugate direction particle swarm optimization and its application for high-dimensional chemical engineering data processing

Hill-climbing particle swarm optimization algorithm with variable width neighborhood and its application

wind farm ; wind speed probability distribution ; Weibull distribution ; modified particle swarm optimization algorithm

Chaotic hybrid particle swarm optimization algorithm and its application in optimization of ANN model of esterification

Binary Quantum Particle Swarm Optimization Algorithm and Its Application to Chemical Process Fault Diagnosis

Neural network trained with particle swarm algorithm and its application to nonlinear system identification

Particle Swarm Optimization Method and Its Application in Landslide Stabilization Optimum Design

A Maximum-Entropy Particle Swarm Optimization for a Class of Non-Differentiable Optimization Problems

Improved Particle Swarm Optimization Algorithm Applied to Optimal Power Flow Calculation of Electric Power System

mixed integer nonlinear programming; cooperative quantum-particle swarm algorithm; neutral network; soft-sensing; steam network;

Modified Particle Swarm Algorithm and Its Application in Reservoir Operation Optimization

Improved particle swarm optimization algorithm and its application in multi-objective process design

Particle Swarm Optimization Algorithm and its Application in Design Optimization of the UAV

Investigation of Particle Swarm Optimization Algorithm in Adaptive Polarization Mode Dispersion Compensation

Application of the particle swarm optimization algorithm in intelligence producing examination paper

Particle Swarm Optimization and its Application of Constrained Layout Optimization

Three Sub-swarms Particle Swarm Optimization Algorithm and Its Application to Soft-sensing of Acrylonitrile Yield

A Study of Constrained Layout Optimization Using Adaptive Particle Swarm Optimizer

Enhanced Particle Swarm Optimization Algorithm and Its Application to Missile Fire Allocation

Optimal Pricing Model for Perishable Commodities and Its Solution with Particle Swarm Optimization

Chaos-based Particle Swarm Optimization Algorithm and its Application in Truss-optimization Design

Study of Vehicle Optimization Scheduling System for Metallurgy Enterprise Railroad Based on Particle Swarm Optimization Algorithm

Improved Particle Swarm Optimization and Its application in Reservoir Optimal Operation

Hybrid Particle Swarm Optimization Strategy with Adaptive Mutation and Its Applications

Stochastic Collision Detection Between Deformable Models Using Particle Swarm Optimization Algorithm

Chaos-Particle Swarm Optimization Algorithm and Its Application to Mechanical Optimal Design

The Kalman Particle Swarm Optimization Algorithm and Its Application in Soft-sensor of Acrylonitrile yield

Available transfer capability calculation using particle swarm optimization algorithm

Multi-objective model of tolerance design and its solution with particle swarm optimization algorithm

Improved particle swarm optimization and its application to structural optimum design

Two Sub-swarms Substituting Particle Swarm Optimization Algorithm and Its Application

Application of a Particle Swarm Optimization Algorithm to Optimizing Radar-net

Optimization of Rolling Process and Properties Using Artificial Neural Network Combined with Particle Swarm Optimization in Plate Rolling

Particle Swarm Optimization Algorithm with Chaos and Its Application in Planar Location Problem

Settings and Experimental Analysis of Acceleration Coefficients in Particle Swarm Optimization Algorithm

A Hybrid Particle Swarm Optimization Algorithm Taking Simulated Annealing as the Converge Condition

Modified Particle Swarm Optimization Algorithm and Its Application to the Search For the Critical Slip Surface of Soil Slopes

Development and Prospect of a Particle Swarm Optimization Algorithm

An Improved Particle Swarm Optimization Algorithm and Its Application to Engineering

Iterative Particle Swarm Algorithm and Its Application to Batch Process Optimization

Particle Swarm Optimization Algorithms in Synthesis of Fiber Gratings for the Non-Dispersion Filters in the Optical Communication

Iterative Particle Swarm Algorithm and Its Application to Robust Optimization of Batch Process

New Particle Swarm Optimization Algorithm for the Solution to Nonlinear Constrained Programming Problem

Particle Swarm Optimization Approach of Solving Communication Optimization Problems

Adaptive Integral-controller Particle Swarm Optimization Using Accelerator Feedback

Hybridization of the Particle Swarm Optimization with the Grid Density-Based Clustering Algorithm

Multi-objective particle swarm optimization approach to solution of fed-batch bioreactor dynamic multi-objective optimization

An Improved Particle Swarm Optimization and Its Application in Investment Operation

Design and Study of Particle Swarm Optimization with Simulated Annealing

Particle swarm optimization (PSO) include 3 parts: the first part was the current flight status for the particles;

An Approach to Optimizing the Separation of Chinese Medicines by Capillary Electrophoresis Using Particle Swarm Optimization

Particle swarm optimization algorithm of equation constrained optimization problem

Logical Time-sequenced Particle Swarm Optimization Strategy of Procedure Parameters in Semiconductor Product Line

Fuzzy Neural Network Optimization by a Multi-Objective Particle Swarm Optimization Algorithm

An Improved Particle Swarm Optimization Algorithm for Global Optimizations of Electromagnetic Devices

Improved Particle Swarm Optimization Algorithm for the Single Level Capacitated Dynamic Lot-sizing Problem

Optimization of the Solution to the Problems Simulated Annealing to Improve Particle Swarm Algorithm

Reserve Service; Interruptible Load; Electricity Market; Integrated Spinning Reserve Market; Smart Grid; Particle Swarm Optimization;

Swarm-Core Evolutionary Particle Swarm Optimization in Dynamic Optimization Environments

Particle swarm optimization algorithm and its application in unit commitment

Particle Swarm Optimization and Its Application to Structural Optimum Design

Multi-optimum information programming based particle swarm optimization algorithm

Particle swarm optimization algorithm for a model of optimally scheduling web advertising resources

Improved algorithm of particle swarm optimization and its application in Robot Soccer

Complex Particle Swarm Optimization Algorithm for Solving Feed Policies Optimization for Bioreactor

Application of improved particle swarm algorithm in optimization design of agricultural engineering

Modified Particle Swarm Optimization for Reconfiguration of Distribution Network

Particle swarm optimal identification of Wiener model and a case study

A Stochastic Searching Algorithm in Combination with Particle Swarm Optimization Algorithm and Ant Colony Algorithm

Application of Particle Swarm Optimization Neural Network in Soft-sensor Modeling of Gasoline Endpoint of Crude Distillation Unit

The Application of Crossbreeding Particle Swarm Optimizer in the Engineering Geometric Constraint Solving

Particle Swarm Optimization Algorithm for Topological Optimization of Truss Structures

Ant colony and particle swarm optimization algorithm-based solution to multi-objective flexible job-shop scheduling problems

Particle Swarm Optimization Based Approach to Solving Nonlinear Bilevel Programming Problems

Particle Swarm Optimization Design Method for Retaining Structures in Excavation Engineering

Optimal Dispatching for Electrolytic Zinc Process with Particle Swarm Optimization Algorithm

Adaptive constrained particle swarm optimization algorithm and urban water supply scheduling

Research on Grouped-and-Delayed Broadcasting Mechanism for Optimum Information in Particle Swarm Optimization

Advanced Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands

Particle swarm optimization based algorithm for constrained layout optimization

Scheduling Optimization of Mixed Model Assembly Lines with Hybrid Particle Swarm Optimization Algorithm

Research of a Hybrid Intrusion Detection System Based on Particle Swarm Optimization and Artificial Immunology

ANN Trained by Particle Swarm Optimization and Its Applications in Boring Processes

Optimal Order Quantity and Pricing for Perishable Commodities and Solutions with Particle Swarm Optimization

Nonlinear System Identification Using Particle Swarm Optimization

Application of particle swarm optimization algorithm to distribution network planning

Method for Cylindricity Errors Evaluation Using Particle Swarm Optimization Algorithm

Complex particle swarm optimization algorithm for solving travelling salesman problem

Optimizing the Movement Parameters of Reciprocating Vibration Screens by Particle Swarm Algorithm

Particle Swarm Optimization for the Constrained Optimization Problem

Particle Swarm Optimization Algorithm and Its Application to Power System

Dynamic economic dispatch using particle swarm optimization algorithm in electricity market

an improved particle swarm optimization (PSO) was used to find correction steps of nodes;

Application of the particle swarm optimization to the design of heating and cooling plants of buildings

A Modified Particle Swarm Optimization for Construction Equipment Optimization

Application of particle swarm optimization in cooperative architectural design

Particle swarm optimization algorithm for solving singular nonlinear equations

Algorithm of Vector Particle Swarm Optimization and Its Application

Category forecast application of neural network algorithm trained by particle swarm optimization

Application of Improved Particle Swarm Optimization in Power Purchase Model Optimization Problem

Suitable-distribution particle swarm applying to SOC architectural parameters design

A Modified Particle Swarm Optimization for Solving Constrained Optimization Problems

Application of Discrete Particle Swarm Optimization Algorithm to Substation Location

Application of Particle Swarm Optimization in Process of Non-linear Simulated Moving Bed Chromatographic Fractionation

Multi-velocity particle swarm optimization and its application in soft sensor

Application of Adaptive Mutation- particle Swarm Optimization Algorithm in Traffic Control

Optimal calibration of ship degaussing system using stochastic particle swarm optimization

Binary system particle swarm optimization algorithm for optimization of chemical processes

Two sub-swarms particle swarm optimization algorithm and its application

Thermal Process System Identification Using Particle Swarm Optimization

Particle Swarm Optimization Algorithm for Nonlinear Integer Programming

Application of Particle Swarm Optimization in Low Voltage Apparatus Blanking Part Layout Optimization

The particle swarm optimization support vectors machine method of identifying standard components of ions of groundwater

Particle swarm optimization algorithm with gradient acceleration

Optimal Power Flow Using Particle Swarm Optimization and Non-Stationary Multi-Stage Assignment Penalty Function

Application of Particle Swarm Optimization Technique to Short-term Optimal Operation of Hydropower Station

PID controller parameters optimization for the main steam temperature system based on improved particle swarm optimization

Application of Modified Particle Swarm Optimizer in the Planetary Gear Transmission Optimization

Application Research on Particle Swarm Optimization with Variation Gene in Biology Fermentation

Particle Swarm Optimization for Chemical Dynamic Process Optimization with Fixed Boundary Value

Improved particle swarm optimizer based intelligent scheduling for rectifier power system

Multi-peaks function optimization using quantum-behaved particle swarm optimization

Enhanced particle swarm optimization and its application in soft-sensor

Nonholonomic Motion Planning for the Attitude of Underactuated Spacecraft Using Particle Swarm Optimization

An Improved Particle Swarm Algorithm and Its Application in Soft Sensor Modeling

Research on Hybrid Particle Swarm Optimization for Automobile Logistics Network Design Problem

Strategic Learning in Sealed-Bid Bargaining Mechanism by Particle Swarm Optimization Algorithm

Visualized Simulating and Improving Particle Swarm Optimization

The Particle Swarm Optimization Based on Model Space and Space Compression Theory and Its Application in Power Network Expansion Planning

Experimental Analysis of Parameters of Particle Swarm Optimization Algorithm

Nonlinear blind source separation using improved particle swarm optimization

Application of Particle Swarm Optimization for Solving Optimization Problems

Particle Swarm Optimization based Programming Model with Stochastic and Fuzzy Parameters

Solving Systems of Nonlinear Equations Using Quantum-behaved Particle Swarm Optimization

A new algorithm for solving nonlinear constrained optimization problems with particle swarm optimizer

Self-learning particle swarm optimization algorithm for traveling salesman problem

Model Reference and Particle Swarm Optimization Algorithm Based on an Approach For Sensor Dynamic Measurement

Particle Swarm Optimization with the Neuron Adaptive Controller for Solving Equations

Parallel particle swarm optimization algorithm for vehicle routing problems with time windows

Estimating direction-of-arrival of coherent source based on particle swarm optimization algorithm

The Application of Particle Swarm Optimization for the Identification of Fuzzy Nerve Network

Particle Swarm Optimization Algorithm with Reverse Thinking Particles