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A High-Speed, Performance-Optimization Algorithm Based on a Gravitational Approach
Sept.-Oct. 2012 (vol. 14 no. 5)
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.
Index Terms:
Multiagent systems,Heuristic algorithms,Optimization,Acceleration,Gravity,Runtime,Sequential analysis,scientific computing,gravitational search algorithm,GSA,optimization,gravity,multiagent systems
Citation:
Mina Sohrabi, Esmat Rashedi, "A High-Speed, Performance-Optimization Algorithm Based on a Gravitational Approach," Computing in Science and Engineering, vol. 14, no. 5, pp. 56-62, Sept.-Oct. 2012, doi:10.1109/MCSE.2011.95
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