NDLI: A neuro-genetic-simulated annealing approach to the inverse kinematics solution of robots: a simulation based study

Content Provider	Springer Nature Link
Author	Köker, Raşit Çakar, Tarık
Copyright Year	2016
Abstract	In this study, a hybrid intelligent solution system including neural networks, genetic algorithms and simulated annealing has been proposed for the inverse kinematics solution of robotic manipulators. The main purpose of the proposed system is to decrease the end effector error of a neural network based inverse kinematics solution. In the designed hybrid intelligent system, simulated annealing algorithm has been used as a genetic operator to decrease the process time of the genetic algorithm to find the optimum solution. Obtained best solution from the neural network has been included in the initial solution of genetic algorithm with randomly produced solutions. The end effector error has been reduced micrometer levels after the implementation of the hybrid intelligent solution system.
Starting Page	553
Ending Page	565
Page Count	13
File Format	PDF
ISSN	01770667
Journal	Engineering with Computers
Volume Number	32
Issue Number	4
e-ISSN	14355663
Language	English
Publisher	Springer London
Publisher Date	2016-01-12
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Inverse kinematics solution Genetic algorithms Simulated annealing Robotics Hybrid intelligent system Computer-Aided Engineering (CAD, CAE) and Design Math. Applications in Chemistry Systems Theory, Control Calculus of Variations and Optimal Control; Optimization Mechanics ApplicationMathematics/Computational Methods of Engineering
Content Type	Text
Resource Type	Article
Subject	Engineering Computer Science Applications Modeling and Simulation Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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