We introduces a novel algorithm based on the random search technique, namely the p-Stochastic Global Optimization Algorithm (p-SGOA). After each iteration, the search space is gradually narrowed exponentially around the global optimal point, leading to a faster convergence speed. p-SGOA also randomly selects samples p times to find the optimal global solution.

Ngoc Tien Dao

Thuy Van Tran Thi

Thanh Cuong-Le