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A High-Speed, Performance-Optimization Algorithm Based on a Gravitational Approach

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3 Author(s)
Hamid Reza Naji ; High Technol. & Environ. Sci., Kerman Grad. Univ. of Technol., Kerman, Iran ; Mina Sohrabi ; Esmat Rashedi

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.

Published in:

Computing in Science & Engineering  (Volume:14 ,  Issue: 5 )