Devolutionary genetic algorithms with application to the minimum labeling Steiner tree problem

18 Apr 2020Nassim Dehouche

This paper characterizes and discusses devolutionary genetic algorithms and evaluates their performances in solving the minimum labeling Steiner tree (MLST) problem. We define devolutionary algorithms as the process of reaching a feasible solution by devolving a population of super-optimal unfeasible solutions over time... (read more)

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