An introduction to genetic algorithms
AI Expert
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic algorithms for fuzzy controllers
AI Expert
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Evolving fuzzy rule based controllers using genetic algorithms
Fuzzy Sets and Systems
An introduction to fuzzy control (2nd ed.)
An introduction to fuzzy control (2nd ed.)
Fuzzy logic controller based on genetic algorithms
Fuzzy Sets and Systems
Genetic synthesis of fuzzy logic controllers in turning
Fuzzy Sets and Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
IEEE Transactions on Fuzzy Systems
Design of robust fuzzy neural network controller with reduced rule base
International Journal of Hybrid Intelligent Systems
RoboCup 2007: Robot Soccer World Cup XI
Generating artificial populations using a multi-level fuzzy inference engine
Proceedings of the 40th Conference on Winter Simulation
Genetic based fuzzy logic controller for a wall-following mobile robot
ACC'09 Proceedings of the 2009 conference on American Control Conference
Genetic fuzzy logic controller: an iterative evolution algorithm with new encoding method
Fuzzy Sets and Systems
A recursive rule base adjustment algorithm for a fuzzy logic controller
Fuzzy Sets and Systems
A GA optimization for FLC with its rule base and scaling factors adjustment
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Learning fuzzy rules for similarity assessment in case-based reasoning
Expert Systems with Applications: An International Journal
Large scale knowledge-based simulation models: an aproximation to the north-south remittances model
Winter Simulation Conference
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Data and feature reduction in fuzzy modeling through particle swarm optimization
Applied Computational Intelligence and Soft Computing
Fuzzy rule-based similarity model enables learning from small case bases
Applied Soft Computing
Rule base identification in fuzzy networks by Boolean matrix equations
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Complexity management methodology for fuzzy systems with feedback rule bases
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Rule number reduction is important for fuzzy control of complex processes with high dimensionality. It is stated in the paper that this issue can be treated effectively by means of learning premises with general structure. Since conditions of rules are generalised by a genetic algorithm (GA) rather than enumerated according to every AND-connection of input fuzzy sets, a parsimonious knowledge base with a reduced number of rules can be expected. On the other hand, to give a numerical evaluation of possible conflicts among rules, a consistency index of the rule set is established. This index is integrated into the fitness function of the GA to search for a set of optimal rule premises yielding not only good control performance but also little or no inconsistency in the fuzzy knowledge base. The advantage of the proposed method is demonstrated by the case study of development of a compact fuzzy controller to balance an inverted pendulum in the laboratory.