The Community for Technology Leaders
RSS Icon
Issue No.05 - Sept.-Oct. (2012 vol.14)
pp: 56-62
Mina Sohrabi , Shahid Bahonar University of Kerman, Iran
Esmat Rashedi , Shahid Bahonar University of Kerman, Iran
Gravitational search algorithms (GSAs) yield high performances in solving optimization problems, but require time-consuming computations for the total force on each mass which makes the speed of optimization very low. However, replacing a GSA's sequential approach with a multiagent system could improve a GSA's speed considerably while maintaining the high performance level.
Multiagent systems, Heuristic algorithms, Optimization, Acceleration, Gravity, Runtime, Sequential analysis, scientific computing, gravitational search algorithm, GSA, optimization, gravity, multiagent systems
Mina Sohrabi, Esmat Rashedi, "A High-Speed, Performance-Optimization Algorithm Based on a Gravitational Approach", Computing in Science & Engineering, vol.14, no. 5, pp. 56-62, Sept.-Oct. 2012, doi:10.1109/MCSE.2011.95
1. E. Rashedi, H. Nezamabadi-Pour, and S. Saryazdi, “GSA: A Gravitational Search Algorithm,” Information Sciences, vol. 179, no. 13, 2009, pp. 2232–2248.
2. H.R. Naji, “Solving Large Computational Problems Using Multiagents Implemented in Hardware,” Computing in Science & Eng., vol. 10, no. 5, 2008, pp. 54–63.
190 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool