A High-Speed, Performance-Optimization Algorithm Based on a Gravitational Approach
Hamid Reza Naji, Mina Sohrabi, Esmat Rashedi · Computing in Science & Engineering · 2011
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.