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...

With the increase in number of objectives, non-dominated solutions will also sharply. The sorting method based on traditional Pareto dominance is not sufficiently distinguishable from and cannot provide enough selection pressure when population size small. In this article, a new non-linear (NLD) proposed. main motivation perspective storage solutions. small difference between each component as ...

Water is the energy of life. Its usage and want, far out stretch any earth material (minerals, rocks, soil water). In most cases quantity water obtains from its different sources are not quality enough for human due to presence contaminants. Several research works has been proposed on recognition but none area Artificial Intelligence (AI). This paper adopts proposes a fuzzy classifier algorithm...