Home           Contact us           FAQs           
     Journal Home     |     Aim & Scope    |    Author(s) Information      |     Editorial Board     |     MSP Download Statistics
2012 (Vol. 4, Issue: 04)
Article Information:

Optimal Robot Arm Movement using Tabu Search Algorithm

S. Mobaieen, A. Rabii and B. Mohamady
Corresponding Author:  A. Rabii 

Key words:  Arm movement, genetic algorithm, particle swarm optimization, reduced crossover, tabu search, task-sequencing,
Vol. 4 , (04): 383-386
Submitted Accepted Published
2011 October, 31 2011 November, 25 2012 February, 15

This study presents an optimum approach to calculate the optimal robot arm movement for processing a considerable commitment of tasks using Tabu Search (TS) algorithm. In the scheduling problem, the objective is to minimize the total processing time related to tasks distances from each other. In the first step, the TS method is reviewed and we employ the proposed method in order to assign efficiently the optimal robot arm movement. In our proposed algorithm, the crossover rate is large at first and gradually it is decreased based on convergence improvement in next generations. We define an objective function including the operation times. Then, by minimizing this function using discrete TS algorithm, the optimal robot arm movement trajectory is assigned efficiently and quickly. If the resulted best cost converges to global minima, the crossover rate will be decreased in next generation. This method is studied in terms of operation time, convergence speed and quality of the results. Superior features of this algorithm are fast tuning, rapid convergence, less computational burden and capability to avoid from local minima. High promising results demonstrate that our proposed method is very efficient and can obtain higher quality solutions with better computational capability.
Abstract PDF HTML
  Cite this Reference:
S. Mobaieen, A. Rabii and B. Mohamady, 2012. Optimal Robot Arm Movement using Tabu Search Algorithm.  Research Journal of Applied Sciences, Engineering and Technology, 4(04): 383-386.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2015. MAXWELL Scientific Publication Corp., All rights reserved