Evolutionary Algorithms Techniques Based on MET Heuristics of Accustomed Computing Performance

Authors

  • P. Senthil Associate Professor in MCA Computer Science, Kurinji College of Arts and Science, Tiruchirappalli, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2017.6.1.1776

Keywords:

Biogeography based Optimization-Aisle planning-Obstacle detection-Robotic Manipulator

Abstract

In robotics manipulators, the aisle should be optimum, appropriately the torque of the apprentice can be minimized in adjustment to save power. This cardboard includes an optimal aisle planning arrangement for a automatic manipulator. Recently, techniques based on metaheuristics of accustomed computing, mainly evolutionary algorithms (EA), accept been auspiciously activated to a ample amount of automatic applications. In this cardboard the bigger BBO algorithm is acclimated to abbreviate the cold action in the attendance of altered obstacles. The simulation represents that the proposed optimal aisle planning adjustment has satisfactory performance.

References

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Published

26-03-2017

How to Cite

Senthil , P. (2017). Evolutionary Algorithms Techniques Based on MET Heuristics of Accustomed Computing Performance. Asian Journal of Computer Science and Technology, 6(1), 21–26. https://doi.org/10.51983/ajcst-2017.6.1.1776