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A topology exploiting genetic algorithm to control dynamic systems

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-88163-3openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/978-3-662-00784-6openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/bf00115009openalex-snapshot
Learning to Predict by the Methods of Temporal Differences
inferredcites →https://doi.org/10.1109/tsmc.1983.6313077openalex-snapshot
Neuronlike adaptive elements that can solve difficult learning control problems
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-1-4471-2063-6_235openalex-snapshot
Evolving Neuroeontrollers for Pole Balancing
inferred← citeshttps://doi.org/10.1007/bf00993045openalex-snapshot
Genetic reinforcement learning for neurocontrol problems
inferred← citeshttps://doi.org/10.1007/s00500-010-0576-0openalex-snapshot
On intuitionistic fuzzy topologies based on intuitionistic fuzzy reflexive and transitive relations
inferred← citeshttps://doi.org/10.1016/j.fiae.2016.06.006openalex-snapshot
Topological Structures of IVF Approximation Spaces
inferred← citeshttps://doi.org/10.1023/a:1008291923124openalex-snapshot
Evolving Neuro-Controllers for a Dynamic System Using Structured Genetic Algorithms
inferred← citeshttps://doi.org/10.1023/a:1022674030396openalex-snapshot
Genetic Reinforcement Learning for Neurocontrol Problems
inferred← citeshttps://doi.org/10.1080/10798587.2002.10644213openalex-snapshot
Direct Learning Neural Controller Tuned by a Real Number Genetic Algorithm
inferred← citeshttps://doi.org/10.1109/isic.1992.225145openalex-snapshot
Adaptive control of a dynamic system using genetic-based methods
inferred← citeshttps://doi.org/10.1201/9781420050073.ch8openalex-snapshot
Controlling a Dynamic Physical System Using Genetic-Based Learning Methods
inferred← citeshttps://doi.org/10.25916/sut.26288266openalex-snapshot
The pole balancing problem: a benchmark control theory problem
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