International Journal of Approximate Reasoning
Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
A least squares model for fuzzy rules of inference
Fuzzy Sets and Systems
Some considerations about a least squares model for fuzzy rules of inference
Fuzzy Sets and Systems
Real-time stable self-learning FNN controller using genetic algorithm
Fuzzy Sets and Systems
Heuristic fuzzy-neuro network and its application to reactive navigation of a mobile robot
Fuzzy Sets and Systems
Robot Motion Planning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Combining Neural Networks and Fuzzy Controllers
FLAI '93 Proceedings of the 8th Austrian Artificial Intelligence Conference on Fuzzy Logic in Artificial Intelligence
Selected papers from the IEEE/Nagoya-University World Wisepersons Workshop on Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms,
Automatic generation of fuzzy rule-based models from data by genetic algorithms
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
Multi-objective rule mining using genetic algorithms
Information Sciences: an International Journal - Special issue: Soft computing data mining
A genetic-fuzzy approach for mobile robot navigation among moving obstacles
International Journal of Approximate Reasoning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
SLAVE: a genetic learning system based on an iterative approach
IEEE Transactions on Fuzzy Systems
Learning fuzzy rules with tabu search-an application to control
IEEE Transactions on Fuzzy Systems
Effect of rule weights in fuzzy rule-based classification systems
IEEE Transactions on Fuzzy Systems
Automatic design of fuzzy controllers for car-like autonomous robots
IEEE Transactions on Fuzzy Systems
A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems
IEEE Transactions on Neural Networks
Neuro-fuzzy rule generation: survey in soft computing framework
IEEE Transactions on Neural Networks
A comparative study on some navigation schemes of a real robot tackling moving obstacles
Robotics and Computer-Integrated Manufacturing
Path planning of mobile robot with neuro-genetic-fuzzy technique in static environment
International Journal of Hybrid Intelligent Systems
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A fuzzy logic controller (FLC), intended to plan and control the motion of a car-like robot during its navigation among several moving obstacles, is designed automatically using a genetic algorithm (GA). The FLC is expressed by utilizing the structure of a neural network (NN), and a GA is used to optimize both its data base as well as rule base. An importance factor is introduced to determine the strength of a rule and thus justify its redundancy, if any. Results of the proposed approach are compared to those of a neuro-fuzzy approach, genetic-neuro-fuzzy approach and a potential field method, through computer simulations, for solving the navigation problems of a car-like robot. The present approach is found to perform better than the other three approaches, for most randomly-generated test scenarios.