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Path finding reduce the wear and capital investment ofmobile robot . Several methodologies have been proposed andreported in the literature for the path planning of mobilerobot . Although these methodologies do not guarantee anoptimal solution, they have been successfully applied in theirworks . The purpose of this book is to review the modeling ,optimization criteria and solution algorithms for the pathplanning of mobile robot. The survey shows GA (GeneticAlgorithm) , PSO (Particle Swarm Optimization ) , Neuro -fuzzy , fuzzy , ACO , in this book study finding a researcherused ANFIS, Fuzzy major used for path finding for mobilerobot .
| Autorius: | Eyad I. Abbas, Sundus D. Hasan, Rawaa Jawad, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2020 |
| Knygos puslapių skaičius: | 104 |
| ISBN-10: | 6200782180 |
| ISBN-13: | 9786200782182 |
| Formatas: | 220 x 150 x 7 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Artificial Intelligence (AI) Techniques In Path Finding: Artificial Intelligence (AI) Techniques In Path Finding“
