Multiobjective Design Optimization of Grillage Systems according to LRFD-AISC

Algorithm 1

A pseudocode for NSGA II procedure.

Initialize population (population_size)

evaluate population, evolution ++

while evolution < max_evolution {

    if evolution <max_evolution {

    Offspring =mutation(crossover(selection(population)))

    evaluate offspring, evolution ++}

front =ranking(population U offspring).getsubfront

population.clear

front =CrowdingDistanceAssignment(front)

population.add(front)

    if HV ≥ 0.98 * trueparetofronthypervolume {

    stop }}

front =Ranking(population).getsubfront