Providing new meta-heuristic algorithm for optimization problems inspired by humans' behavior to improve their positions

Abstract

Nowadays, meta-heuristic algorithms have earned special position in optimization problems, particularly nonlinear programming. In this study, a new meta-heuristic algorithm called "Improvement of position (IMPRO Algorithm)" is recommended to solve the optimization problems. This algorithm, similar to other heuristic and meta-heuristic algorithms starts with production of random numbers. However, the aforementioned algorithm is inspired by humans' behavior to enhance the position which coincidentally