Please use this identifier to cite or link to this item:
DC FieldValueLanguage
dc.contributor.authorAbed, I.A.
dc.contributor.authorKoh, S.P.
dc.contributor.authorMohamed Sahari, K.S.
dc.contributor.authorTiong, S.K.
dc.contributor.authorYap, D.F.W.
dc.description.abstractA comparison study between Electromagnetism-Like Algorithm (EM) and Genetic Algorithm (GA) has been presented in this work to solve the Inverse Kinematics (IK) of a four-link planar robot manipulator. The comparison is focused on some points for both algorithms like the accuracy of the results and the speed of convergence. Different target points have been taken to check the performance of each algorithm to solve the IK problem. The results showed that EM algorithm needs less population size and number of generations to get the true solution. There are multiple robot configurations at the goal points and both algorithms are able to find these solutions at each point. Self developed software simulator is used to display some of these solutions at each goal position. © IDOSI Publications, 2012.
dc.titleComparison between genetic algorithm and electromagnetism-like algorithm for solving inverse kinematics
item.fulltextNo Fulltext-
Appears in Collections:COE Scholarly Publication
Show simple item record

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.