The particle swarm optimization algorithm: convergence analysis and parameter selection
Information Processing Letters
Chaotic dynamic characteristics in swarm intelligence
Applied Soft Computing
A fuzzy adaptive turbulent particle swarm optimisation
International Journal of Innovative Computing and Applications
ICC'05 Proceedings of the 9th International Conference on Circuits
A distributed PSO-SVM hybrid system with feature selection and parameter optimization
Applied Soft Computing
A survey of particle swarm optimization applications in electric power systems
IEEE Transactions on Evolutionary Computation
An Improved Particle Swarm Optimization for Traveling Salesman Problem
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Improved catfish particle swarm optimization with fuzzy adaptation
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Modeling data envelopment analysis by chance method in hybrid uncertain environments
Mathematics and Computers in Simulation
Nonconvex maximization for communication systems based on particle swarm optimization
Computer Communications
Improved strategy of particle swarm optimisation algorithm for reactive power optimisation
International Journal of Bio-Inspired Computation
Solution to profit based unit commitment problem using particle swarm optimization
Applied Soft Computing
A self-adaptive embedded chaotic particle swarm optimization for parameters selection of Wv-SVM
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Short-term load forecasting using PSO-based phase space neural networks
SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
A poly-hybrid PSO optimization method with intelligent parameter adjustment
Advances in Engineering Software
Nonconvex Optimization for Power Control in Wireless CDMA Networks
Wireless Personal Communications: An International Journal
Collision-Free path planning for mobile robots using chaotic particle swarm optimization
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Expert Systems with Applications: An International Journal
Computer Networks: The International Journal of Computer and Telecommunications Networking
A simple and effective immune particle swarm optimization algorithm
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
A new fitness estimation strategy for particle swarm optimization
Information Sciences: an International Journal
Sensor deployment for fault diagnosis using a new discrete optimization algorithm
Applied Soft Computing
Gases Brownian Motion Optimization: an Algorithm for Optimization (GBMO)
Applied Soft Computing
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Chaotic swarming of particles: A new method for size optimization of truss structures
Advances in Engineering Software
Optimum design of prestressed concrete beams using constrained differential evolution algorithm
Structural and Multidisciplinary Optimization
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The reactive power optimization is an effective method to improve voltage level, decrease network losses and maintain the power system running under normal conditions. This paper provides a method combining particle swarm optimization (PSO) with linear interior point to handle the problems remaining in the traditional arithmetic of time-consuming convergence and demanding initial values. Furthermore, since chaotic mapping enjoys certainty, ergodicity and stochastic property, the paper introduces chaos mapping into the particle swarm optimization, the paper presents a new arithmetic based on a hybrid method of chaotic particle swarm optimization and linear interior point. Thanks to the superior overall exploration ability of particle swarm optimization and the local exploration ability of linear interior point within the neighborhood of the optimal point, the new method can improve the performance of both convergence and results' precision. Tested by IEEE-30, the new method provided in this paper is proved effective and practical in the optimization of shunt capacitors and tap position of load-ratio voltage transformer.