Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
Machine learning an artificial intelligence approach volume II
Machine learning an artificial intelligence approach volume II
Neural computing: theory and practice
Neural computing: theory and practice
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Machine learning: an artificial intelligence approach volume III
Machine learning: an artificial intelligence approach volume III
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic algorithms for fuzzy controllers
AI Expert
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
C4.5: programs for machine learning
C4.5: programs for machine learning
Automatic design and adaptation of fuzzy systems and genetic algorithms using soft computing techniques
Genetic algorithms for learning in fuzzy relational structures
Fuzzy Sets and Systems
Type inheritance in strongly typed genetic programming
Advances in genetic programming
On using syntactic constraints with genetic programming
Advances in genetic programming
Artificial intelligence: a new synthesis
Artificial intelligence: a new synthesis
Predictive data mining: a practical guide
Predictive data mining: a practical guide
Neural network applications in finance: a review and analysis of literature (1990-1996)
Information and Management
NEFCLASSmdash;a neuro-fuzzy approach for the classification of data
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
Computational intelligence for decision support
Computational intelligence for decision support
Comparative evaluation of genetic algorithm and backpropagation for training neural networks
Information Sciences—Informatics and Computer Science: An International Journal
Machine Learning
Knowledge Discovery by Inductive Neural Networks
IEEE Transactions on Knowledge and Data Engineering
Machine Learning
Dynamic Control of Genetic Algorithms Using Fuzzy Logic Techniques
Proceedings of the 5th International Conference on Genetic Algorithms
Grammatical Evolution: Evolving Programs for an Arbitrary Language
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Machine learning based feature extraction for quality control in a production line
Integrated Computer-Aided Engineering
Strongly typed genetic programming
Evolutionary Computation
Training feedforward neural networks using genetic algorithms
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Fuzzy inference system learning by reinforcement methods
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Real-time tool condition monitoring using wavelet transforms and fuzzy techniques
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Evolutionary Computation
Adaptive genetic operators based on coevolution with fuzzybehaviors
IEEE Transactions on Evolutionary Computation
Microgenetic algorithms as generalized hill-climbing operators forGA optimization
IEEE Transactions on Evolutionary Computation
A case study of scheduling storage tanks using a hybrid geneticalgorithm
IEEE Transactions on Evolutionary Computation
Parallel hybrid method for SAT that couples genetic algorithms andlocal search
IEEE Transactions on Evolutionary Computation
Regularization approach to inductive genetic programming
IEEE Transactions on Evolutionary Computation
A comparative study on heuristic algorithms for generating fuzzydecision trees
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy wavelet networks for function learning
IEEE Transactions on Fuzzy Systems
Cascaded fuzzy neural network model based on syllogistic fuzzy reasoning
IEEE Transactions on Fuzzy Systems
Fuzzy neural networks for tuning PID controller for plants with underdamped responses
IEEE Transactions on Fuzzy Systems
Hybrid supervisory control using recurrent fuzzy neural network for tracking periodic inputs
IEEE Transactions on Neural Networks
Distributed fuzzy learning using the MULTISOFT machine
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Computational Intelligence techniques for Web personalization
Web Intelligence and Agent Systems
Artificial Intelligence technique for modelling and forecasting of solar radiation data: a review
International Journal of Artificial Intelligence and Soft Computing
Image segmentation using fuzzy logic, neural networks and genetic algorithms: survey and trends
Machine Graphics & Vision International Journal
| Hi-index | 0.00 |
The increased popularity of hybrid intelligent systems in recent times lies to the extensive success of these systems in many real-world complex problems. The main reason for this success seems to be the synergy derived by the computational intelligent components, such as machine learning, fuzzy logic, neural networks and genetic algorithms. Each of these methodologies provides hybrid systems with complementary reasoning and searching methods that allow the use of domain knowledge and empirical data to solve complex problems. In this paper, we briefly present most of those computational intelligent combinations focusing in the development of intelligent systems for the handling of problems in real-world applications. We emphasize the appropriateness of hybrid computational intelligence techniques for dealing with specific problems, we try to point particularly suitable areas of application for different combinations of intelligent techniques and we briefly state advantages and disadvantages of the "hybrid" idea, seen as the next theoretical step in the evolving impact and success of artificial intelligence tools and techniques.