Title :
A High-Speed, Performance-Optimization Algorithm Based on a Gravitational Approach
Author :
Naji, Hamid Reza ; Sohrabi, M. ; Rashedi, Esmat
Author_Institution :
High Technol. & Environ. Sci., Kerman Grad. Univ. of Technol., Kerman, Iran
Abstract :
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.
Keywords :
multi-agent systems; optimisation; search problems; GSA sequential approach; gravitational approach; gravitational search algorithms; high-speed performance-optimization algorithm; multiagent system; optimization problems; Acceleration; Gravity; Heuristic algorithms; Multiagent systems; Optimization; Runtime; Sequential analysis; GSA; gravitational search algorithm; gravity; multiagent systems; optimization; scientific computing;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2011.95
