A socio-behavioural simulation model for engineering design optimization

This paper proposes a method for solving single objective constrained optimization problems by way of a socio-behavioural simulation model. The essence of the methodology is derived from the concept that the behaviour of an individual changes and improves due to social interaction with the society leaders. Leaders are identified after all individuals of a society are Pareto ranked according to constraint satisfaction. At the higher end, leaders of all societies interact among themselves for the overall improvement of the societies. Such overall improvement of individual societies leads to a better civilization. Four well-studied single objective constrained optimization problems have been solved to show the efficacy of the proposed methodology.