Abstract & Overview
The main difference between multi-objective optimization and singleobjective optimization is that the first one has more than one target function and they need to optimize simultaneously.The solution of single-objective problems provides an optimal value in contrast to the multi-objective problems where a set of Pareto-optimal values can be found.That is why, one of most common approach for solving multi-objective problems is realize by transforming the multi objectives into a single objective.The simplest transformation is through an additive model, where a weighting factor is given on each objective.This research proposes a calculation procedure by which the LibreOffice Calc NLP Solver is used to generate solutions in the Pareto subset for multi-objective problems.