Zero-order TSK-type fuzzy system learning using a two-phase swarm intelligence algorithm
Fuzzy Sets and Systems
A self-generating fuzzy system with ant and particle swarm cooperative optimization
Expert Systems with Applications: An International Journal
Problem difficulty analysis for particle swarm optimization: deception and modality
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Computers and Operations Research
Hierarchical cluster-based multispecies particle-swarm optimization for fuzzy-system optimization
IEEE Transactions on Fuzzy Systems
Designing fuzzy-rule-based systems using continuous ant-colony optimization
IEEE Transactions on Fuzzy Systems
SALSA-based motion optimization for robotic manipulators with strong nonlinear dynamic coupling
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Fractional particle swarm optimization in multidimensional search space
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multi-dimensional particle swarm optimization in dynamic environments
Expert Systems with Applications: An International Journal
Particle swarm optimization-based extremum seeking control
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Recurrent fuzzy system design using elite-guided continuous ant colony optimization
Applied Soft Computing
Parallel computation models of particle swarm optimization implemented by multiple threads
Expert Systems with Applications: An International Journal
Particle swarm optimization with disagreements
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Oriented search algorithm for function optimization
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Enhanced parallel cat swarm optimization based on the Taguchi method
Expert Systems with Applications: An International Journal
A hybrid PSO/GA algorithm for job shop scheduling problem
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Swarm intelligence-based extremum seeking control
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
A new fitness estimation strategy for particle swarm optimization
Information Sciences: an International Journal
Modified particle swarm optimization structure approach to direction of arrival estimation
Applied Soft Computing
Fuzzy systems based on multispecies PSO method in spatial analysis
Advances in Fuzzy Systems - Special issue on Fuzzy Functions, Relations, and Fuzzy Transforms (2012)
Dynamic compensation and H ∞ control for piezoelectric actuators based on the inverse Bouc-Wen model
Robotics and Computer-Integrated Manufacturing
Hierarchical Particle Swarm Optimization with Ortho-Cyclic Circles
Expert Systems with Applications: An International Journal
Hi-index | 0.01 |
Particle swarm optimization (PSO) is a population-based stochastic recursion procedure, which simulates the social behavior of a swarm of ants or a school of fish. Based upon the general representation of individual particles, this paper introduces a decreasing coefficient to the updating principle, so that PSO can be viewed as a regular stochastic approximation algorithm. To improve exploration ability, a random velocity is added to the velocity updating in order to balance exploration behavior and convergence rate with respect to different optimization problems. To emphasize the role of this additional velocity, the modified PSO paradigm is named PSO with controllable random exploration velocity (PSO-CREV). Its convergence is proved using Lyapunov theory on stochastic process. From the proof, some properties brought by the stochastic components are obtained such as ldquodivergence before convergencerdquo and ldquocontrollable exploration.rdquo Finally, a series of benchmarks is proposed to verify the feasibility of PSO-CREV.