Genetic algorithms for fuzzy controllers
AI Expert
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Fuzzy Modelling: Paradigms and Practices
Fuzzy Modelling: Paradigms and Practices
Foundations of Neuro-Fuzzy Systems
Foundations of Neuro-Fuzzy Systems
Neural Nets Trained by Genetic Algorithms for Collision Avoidance
Applied Intelligence
Different approaches to induce cooperation in fuzzy linguistic models under the COR methodology
Technologies for constructing intelligent systems
Evolving two-dimensional fuzzy systems
Fuzzy Sets and Systems - Theme: Learning and modeling
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
New methods for competitive coevolution
Evolutionary Computation
Artificial Life
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
IEEE Transactions on Fuzzy Systems
Fuzzy CoCo: a cooperative-coevolutionary approach to fuzzy modeling
IEEE Transactions on Fuzzy Systems
Evolutionary approaches to fuzzy modelling for classification
The Knowledge Engineering Review
Hierarchical Co-evolution of Cooperating Agents Acting in the Brain-Arena
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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In the last few years, the coevolutionary paradigm has shown an increasing interest thanks to its high ability to manage huge search spaces. Particularly, the cooperative interaction scheme is recommendable when the problem solution may be decomposable in subcomponents and there are strong interdependencies among them.The paper introduces a novel application of these algorithms to the learning of fuzzy rule-based systems for system modeling. Traditionally, this process is performed by sequentially designing their different components. However, we propose to accomplish a simultaneous learning process with cooperative coevolution to properly consider the tight relation among the components, thus obtaining more accurate models.