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This paper proposes a new numerical optimization algorithm inspired by thestrawberry plant for solving complicated engineering problems. Plants likestrawberry develop both runners and roots for propagation and search for waterresources and minerals. In these plants, runners and roots can be thought of astools for global and local searches, respectively. The proposed algorithm hasthree main differences with the trivial nature-inspired optimizationalgorithms: duplication-elimination of the computational agents at alliterations, subjecting all agents to both small and large movements from thebeginning to end, and the lack of communication (information exchange) betweenagents. Moreover, it has the advantage of using only three parameters to betuned by user. This algorithm is applied to standard test functions and theresults are compared with GA and PSO. The proposed algorithm is also used tosolve an open problem in the field of robust control theory. These simulationsshow that the proposed algorithm can very effectively solve complicatedoptimization problems.

A Numerical Optimization Algorithm Inspired by the Strawberry Plant