strawberry_algorith​m.zip

Simulation of the strawberry algorithm developed by F. Merrikh-Bayat

This file is used to simulate the strawberry algorithm (SBA) developed by F. Merrikh-Bayat (see http://arxiv-web3.library.cornell.edu/abs/1407.7399
for more details). SBA is a new numerical optimization algorithm inspired by the strawberry plant for solving complicated engineering problems. Plants like strawberry develop runners and roots (as well as root hairs) for propagation and search for water resources and minerals. In these plants, runners and roots can be thought of as tools for global and local searches, respectively. The proposed algorithm has three main differences with the trivial nature-inspired optimization algorithms: duplication-elimination of the computational agents at all iterations, subjecting all agents to both small and large movements from the beginning to end, and the lack of communication (information exchange) between agents. Moreover, it has the advantage of using only three parameters to be tuned by user. This algorithm is applied to standard test functions in support of its efficiency for solving complicated optimization problems.