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Issue No. 05 - Sept.-Oct. (2012 vol. 14)
ISSN: 1521-9615
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

M. Sohrabi and E. Rashedi, "A High-Speed, Performance-Optimization Algorithm Based on a Gravitational Approach," in Computing in Science & Engineering, vol. 14, no. , pp. 56-62, 2012.
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