Convalesce Optimization for Input Allocation Problem Using Hybrid Genetic Algorithm

To find the running time, notice that if η is the number of generations, μ the population size, n the quantity of genes of any chromosome (problem input) and as it is

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This paper develops a hybrid fuzzy logic based genetic algorithm model to solve the multi-objective passenger railway scheduling problem aiming to optimize

Our experience using the hybrid GA-LI algorithm indicates that employing linearized inversion on initial steps of the GA-LI algorithm may overemphasize a local search, specially if

The following table presents the numerical results, for the local method pattern search (PS) and for the global methods, genetic algorithm (GA) and hybrid genetic algorithm (HGA)..