Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
392901 | Information Sciences | 2016 | 22 Pages |
Abstract
In this paper, we study three selection mechanisms based on the maximin fitness function and we propose another one. These selection mechanisms give rise to the following MOEAs: “MC-MOEA”, “MD-MOEA”, “MH-MOEA” and “MAH-MOEA”. We validated them using standard test functions taken from the specialized literature, having from three up to ten objective functions. We compare these four MOEAs among them and also with respect to MOEA/D (which is based on decomposition), and to SMS-EMOA (which is based on the hypervolume indicator). Our preliminary results indicate that “MD-MOEA” and “MAH-MOEA” are promising alternatives for solving MOPs with either low or high dimensionality.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Adriana Menchaca-Mendez, Carlos A. Coello Coello,