Parallel iprialist competitive algorithm: a method for global optimization
Bibliographic entry
Alavi, Seyed Enayatallah. Parallel iprialist competitive algorithm: a method for global optimization / Seyed Enayatallah Alavi, Marjan Naderan-Tahan, Mohamad Aminian // Приборостроение-2014 : материалы 7-й Международной научно-технической конференции (19–21 ноября 2014 года, Минск, Республика Беларусь) / ред. колл.: О. К. Гусев [и др.]. – Минск : БНТУ, 2014. – С. 16-17.
Abstract
A novel parallel imperialist competitive algorithm (PICA) is presented for global optimization. The ICA is a new meta-heuristic optimization developed based on a socio-politically motivated strategy and contains two main steps: the movement of the colonies and the imperialistic competition. Here different parallel approach is utilized to improve the movement step of the algorithm. Comparing the new algorithm with the other ICA-based methods demonstrates the superiority of the PICA for the benchmark functions.