Research Article
A Hybrid Method for Truss Mass Minimization considering Uncertainties
| Initialize generations, Initialize Population size: “”, mutation probability: “”, crossover probability: “”, | | number of genes per individual: “”, upper and lower bounds values for each gene: “”, “”. | | Main Loop (while stopping criteria are not met) | | Evaluate and rank the population of individuals by the objective function vector. | | Generation of new population | | (3.1) SQP method: The best individual of the population is the starting point of search SQP method, which | | replaces the same point in the next generation. | | (3.2) PSO method: 20% of the best individuals suffers PSO operations, constrained to and , | | According to: | | | | This work assumes and , according to [25]). | | (3.3) GA Method (genetic operators) | | (3.3.1) Crossover It is assumed according to [26] | | “One point Recombination” | | Loop to Step | | If do | | | | | End If | | End Loop | | (3.3.2) Adaptive Mutation [22] | | Loop to | | If then | | Else | | | End If | | End Loop | | If do | | | | End If | | End of the Main Loop |
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