Multi-objective optimization of structures using charged system search

Many industrial problems are concerned with optimization of large andcomplex systems involving many criteria. indeed, optimization problems encountered inpractice are seldom mono-objective. in general, there are many conicting objectives tohandle. this study introduces a new method for the solution of multi-objective optimizationproblems. multi-objective optimization is utilized to nd the most suitable solution, whichcovers the requirements and demands of decision makers. the main goal of the resolutionof a multi-objective problem is to obtain a pareto optimal set and, consequently, thepareto front. this method is based on the charged system search (css) algorithm,which is inspired by the coulomb and gauss laws of electrostatics in physics. in orderto illustrate the eciency of the proposed method, numerical examples are solved andresults are compared to show the ability of the css in nding optimal solutions.