Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Genetic Algorithms and Fuzzy Logic Systems: Soft Computing Perspectives
Genetic Algorithms and Fuzzy Logic Systems: Soft Computing Perspectives
Journal of Global Optimization
Expert Systems with Applications: An International Journal
Differential evolution using a neighborhood-based mutation operator
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews - Special issue on information reuse and integration
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Development of quantum-based adaptive neuro-fuzzy networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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
Evolutionarily adjusting membership functions in Takagi-Sugeno fuzzy systems
International Journal of Intelligent Information and Database Systems
Complex fuzzy computing to time series prediction: a multi-swarm PSO learning approach
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Complex fuzzy model with PSO-RLSE hybrid learning approach to function approximation
International Journal of Intelligent Information and Database Systems
Comprehensive analysis for modified particle swarm optimisation with PD controllers
International Journal of Intelligent Information and Database Systems
Robust extraction of fuzzy rules with artificial neural network based on fuzzy inference system
International Journal of Intelligent Information and Database Systems
System design by constraint adaptation and differential evolution
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Opposition-Based Differential Evolution
IEEE Transactions on Evolutionary Computation
Accelerating Differential Evolution Using an Adaptive Local Search
IEEE Transactions on Evolutionary Computation
Differential Evolution: A Survey of the State-of-the-Art
IEEE Transactions on Evolutionary Computation
Tuning of a neuro-fuzzy controller by genetic algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Simultaneous Structure Identification and Fuzzy Rule Generation for Takagi–Sugeno Models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
Combination of online clustering and Q-value based GA for reinforcement fuzzy system design
IEEE Transactions on Fuzzy Systems
Genetic algorithm-based optimal fuzzy controller design in the linguistic space
IEEE Transactions on Fuzzy Systems
Incremental Evolutionary Design of TSK Fuzzy Controllers
IEEE Transactions on Fuzzy Systems
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
IEEE Transactions on Fuzzy Systems
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
IEEE Transactions on Fuzzy Systems
Evolving recurrent perceptrons for time-series modeling
IEEE Transactions on Neural Networks
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This paper proposes a differential evolution algorithm with efficient mutation strategy DEEMS for fuzzy prediction model FPM optimisation. The proposed DEEMS uses a modified mutation operation which considers local information nearby each individual to trade-off between the exploration ability and the exploitation ability. In the FPM design, we adopt an entropy measure method to determine the number of rules. Initially, there is no rule in the FPM. Fuzzy rules are automatically generated by entropy measure. Subsequently, the DEEMS algorithm is performed to optimise all the free parameters. During evolution process, the scale factor and crossover rate in the DEEMS algorithm are adjusted by adaptive parameter tuning strategy for each generation. It is thus helpful to enhance the robustness of the DEEMS algorithm. In the simulation, the proposed FPM with DEEMS model FPM-DEEMS is applied to two real world problems. Results show that the proposed FPM-DEEMS model obtains better performance than other algorithms.