fergunet
commented
5 years ago What do you think @JJ ?
Parallel island-model co-evolutionary algorithms are a well-known and suitable methods to deal with large multi-objective optimization problems. In these algorithms, each island modifies a fragment of the chromosome that encodes a possible solution to the problem. In this paper, we want to demonstrate that automatically setting the size of the overlapping fragments depending on the number of islands obtains better results than using the same size. We have compared this method to other parallel evolutionary techniques considering a different number of islands, chromosome sizes and benchmarks. The analysis of the obtained experimental results, by using different metrics, shows that our approach can provide statistically significant improvements with respect to the base algorithm in high-dimensional, un-decomposable, multi-objective problems. This opens a very challenging line to automatically adapt the overlapping sizes in this kind of algorithms.
1- Abstract is too long. It is clearly below of standard publications. The abstract should be shorten. The authors should discuss about the main innovation of their study and the interesting results from the evaluations.