Multi-Objective Self-Adaptive Genetic Search for Structural Robust Design

An approach for structural robust design that simultaneously considers minimum weight/cost and minimum strain energy related with maximum performance is proposed in this paper. The trade-off between the performance target, depending on given stress, displacement and buckling constraints imposed on composite structures, against minimum weight/cost, is searched. The Pareto-optimal front is built using the concept of Pareto dominance in order to assign scalar fitness values to individuals. Such a challenge is performed using a hierarchical genetic algorithm with co-evolution of multi-populations. A self-adaptive genetic search incorporating Pareto dominance is presented. The proposed methodology adopts an elitist strategy storing the non-dominated solutions found during the evolutionary process.