Spring search algorithm: A new meta-heuristic optimization algorithm inspired by Hooke's law
Mohammad Javad Dehghani, Zeinab Montazeri, Ali Asghar Dehghani, Ali Reza Seifi · 2017
Nowadays, accident-based heuristic swarm algorithms are widely used for optimization. The important class of these algorithms has been developed by ideas of physical processes or behaviors of creatures. This paper introduced a new method to achieve semi-optimized solutions related to optimization problems in the various sciences. The proposed method of spring search algorithm is among the optimization algorithms developed by idea of laws of nature and the search factors are a set of objects. The paper presents the real version of the algorithm. The standard multi-function optimization results indicate efficiency and optimal performance of the proposed method.