Titlebook: New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization; Patricia Melin,Oscar Castillo Book 2

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Hypervolume Indicator as an Estimator for Adaptive Operator Selection in an On-Line Multi-objective evaluate the performance of a search process transforming multiple objective problems into single-objective ones. This allows us to apply a single objective online hyper-heuristic to multi-objective problems. For experimentation, we use the well-known ZDT and DTLZ benchmarks.

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Developing a Quantum Genetic Algorithm in MATLAB Using a Quantum Device on AWStimes by leveraging its inherent quantum parallelism and other quantum phenomena. The proposed approach integrates MATLAB, a quantum genetic algorithm, quantum simulators, and access to quantum devices via Amazon Braket. The methodology is exemplified through the implementation of a basic genetic al

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Optimal Fuzzy Logic Controller for DC Motor Using Grasshopper Optimization Algorithmize and determine the optimal controller. The optimization algorithm bio-inspired by the behavior of grasshoppers in nature is used in this work and the contribution is the implementation of the grasshopper algorithm to optimize a Mamdani type fuzzy control applied to a benchmark problem with the ai

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An Application of Controlled Sets in Medical Diagnosisained results compared by intuitionistic fuzzy applications. In this study, controlled set theory is applied to medical diagnosis using Szmidt and Kacprzyk’s smallest distance method. The obtained results are compared with the previous ones.

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Book 2024he theoretical developments of fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are offered. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making

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Aggregation in Ensemble Neural Models with Type-3 and Intuitionistic Fuzzy Logictions. The type-3 intuitionistic fuzzy system estimates the weights assigned to the individual predictions in a weighted average approach. Prediction uncertainty based on data is modeled by type-3 and uncertainty of the experts is modeled by intuitionistic fuzzy sets. The proposal is tested with an illustrative example of prediction.

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