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In this paper electromagnetism (EM) metaheuristic is used for solving the  NP-hard strong minimum energy topology problem (SMETP). Objective function is  adapted to the problem so that it effectively prevents infeasible solutions.  Proposed EM algorithm uses efficient local search to speed up overall running  time. This approach is tested on two sets of randomly generated symmetric and  asymmetric instances. EM reaches all known optimal solutions for these  instances. The solutions are obtained in a reasonable running time even for  the problem instances of higher dimensions

Electromagnetism metaheuristic algorithm for solving the strong minimum energy topology problem