Feedback controlled particle swarm optimization and its application in time-series prediction

Authors:
W. K. Wong;S. Y. S. Leung;Z. X. Guo
Affiliations:
Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, PR China;Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, PR China;Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, PR China
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 28
Cited 2

Parameter Selection in Particle Swarm Optimization

EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
An introduction to variable and feature selection

The Journal of Machine Learning Research
Population structure and particle swarm performance

CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Population structure and particle swarm performance

CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Dispersed particle swarm optimization

Information Processing Letters
Time series prediction using evolving radial basis function networks with new encoding scheme

Neurocomputing
Stitching defect detection and classification using wavelet transform and BP neural network

Expert Systems with Applications: An International Journal
A decision support tool for apparel coordination through integrating the knowledge-based attribute evaluation expert system and the T-S fuzzy neural network

Expert Systems with Applications: An International Journal
Delay-distribution-dependent stability of stochastic discrete-time neural networks with randomly mixed time-varying delays

Neurocomputing
Dynamic multiple swarms in multiobjective particle swarm optimization

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Adaptive particle swarm optimization

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Controller design for synchronization of an array of delayed neural networks using a controllable probabilistic PSO

Information Sciences: an International Journal
Neighborhood topologies in fully informed and best-of-neighborhood particle swarms

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
No free lunch theorems for optimization

IEEE Transactions on Evolutionary Computation
Evolutionary programming made faster

IEEE Transactions on Evolutionary Computation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space

IEEE Transactions on Evolutionary Computation
The fully informed particle swarm: simpler, maybe better

IEEE Transactions on Evolutionary Computation
A Cooperative approach to particle swarm optimization

IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients

IEEE Transactions on Evolutionary Computation
Handling multiple objectives with particle swarm optimization

IEEE Transactions on Evolutionary Computation
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions

IEEE Transactions on Evolutionary Computation
Evolutionary optimization of radial basis function classifiers for data mining applications

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Evolving Compact and Interpretable Takagi–Sugeno Fuzzy Models With a New Encoding Scheme

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Coevolutionary Particle Swarm Optimization Using Gaussian Distribution for Solving Constrained Optimization Problems

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust Control for Networked Systems With Random Packet Losses

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Particle Swarm Optimization With Recombination and Dynamic Linkage Discovery

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A fuzzy-logic-based approach to qualitative modeling

IEEE Transactions on Fuzzy Systems
Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks

IEEE Transactions on Neural Networks

Optimal robust sliding mode tracking control of a biped robot based on ingenious multi-objective PSO

Neurocomputing
Combining technical trading rules using particle swarm optimization

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

Particle swarm optimization (PSO) algorithm is an algorithmic technique for optimization by solving a wide range of optimization problems. This paper presents a new approach of extending PSO to solve optimization problems by using the feedback control mechanism (FCPSO). The proposed FCPSO consists of two major steps. First, by evaluating the fitness value of each particle, a simple particle evolutionary fitness function is designed to control parameters involving acceleration coefficient, refreshing gap, learning probabilities and number of the potential exemplars automatically. By such a simple particle evolutionary fitness function, each particle has its own search parameters in a search environment. Secondly, a local learning method using a competitive penalized method is developed to refine the solution. The FCPSO has been comprehensively evaluated on 18 unimodal, multimodal and composite benchmark functions with or without rotation. Compared with various state-of-the-art algorithms, including traditional PSO algorithms and representative variants of PSO algorithms, the performance of FCPSO is promising. The effects of parameter adaptation, parameter sensitivity and local search method are studied. Lastly, the proposed FCPSO is applied to constructing a radial basis neural network, together with the K-means method for time-series prediction.