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portada Adaptive IAS: Evolutionary autonomous optimal fuzzy path finding strategy
Type
Physical Book
Author
Publisher
Language
English
Pages
52
Format
Paperback
Dimensions
22.9x15.2x0.3 cm
Weight
0.09 kg.
ISBN13
9786203193626
Categories

Adaptive IAS: Evolutionary autonomous optimal fuzzy path finding strategy

Ouarda Hachour (Author) · LAP Lambert Academic Publishing · Paperback

Adaptive IAS: Evolutionary autonomous optimal fuzzy path finding strategy - Hachour, Ouarda

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Synopsis "Adaptive IAS: Evolutionary autonomous optimal fuzzy path finding strategy"

A robotic vehicle is an intelligent mobile machine capable of autonomous operations in structured and unstructured environment, it must be capable of sensing, thinking, and acting. But, the current mobile robots do relatively little that is recognizable as intelligent. Therefore, the autonomous mobile robots must be able to achieve these tasks: to avoid obstacles, and to make one way towards their target. In fact, recognition, learning, decision-making, and action constitute principal problems of the navigation.When an autonomous robot moves from a source point to a target point in its given environment, it is necessary to plan an optimal or feasible path avoiding obstacles in its way and answer to some criterion of autonomy requirements.in this present work we present an optimal Evolutionary autonomous optimal fuzzy path finding strategy. This system constitutes the knowledge bases of an optimal control FL approach allowing recognition the fuzzy situation of the target localization and obstacle avoidance, respectively. This approach can be realized in efficient manner and has proved to be superior to combinatorial optimization techniques, due to the problem complexity.

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