Application of fractals: create an artificial habitat with several small (SS) strategy in marine environment

In 2006, Lan and Hsui applied perspectives on landscape ecology to propose a spatially explicit model, and suggested that the cluster type deployment of artificial habitat in a marine environment might be better than other configurations in maximizing habitat complexity with a fractals approach. The limitation is that, however, it could only design a single large island pattern subject to its solving algorithm. Hence, by applying more sophisticated algorithms, Evolution computational (EC) algorithm, we mimic more spatially explicit structural patterns to conduct several small (SS) clusters pattern in an artificial habitat such as those found in nature landscape; additionally, the deployment in a community follows the concept of DARCs model, which applied the cellular automata (CA) concept with Moore neighborhood rule. The results show that with all the new knowledge that has been gained through the appropriate application of fractal geometry to natural sciences, it is clear that understanding how landscape ecology influences population ecology has allowed population ecologists to gain new insights into their field.