Today, many-objective optimization problems have attracted widespread attention. There are significant advantages of the grid-based algorithm in solving multi-objective problems. Grid-based could offer a transformation objectives and further distinguish non-dominated solutions. However, grid not been fully exploited. For example, traditional homogeneous divisions can’t sufficiently reveal simil...

In evolutionary multiobjective optimization, effectiveness refers to how an algorithm performs in terms of converging its solutions into the Pareto front and also diversifying them over front. This is not easy job, particularly for optimization problems with more than three objectives, dubbed many-objective problems. such problems, classic Pareto-based algorithms fail provide sufficient selecti...

Abstract: One of the equipment that can help improve distribution system status today and reduce the cost of fault time is remote control switches (RCS). Finding the optimal location and number of these switches in the distribution system can be modeled with various objective functions as a nonlinear optimization problem to improve system reliability and cost. In this article, a particle swarm ...