Advertisement
Published in:
2010 | OriginalPaper | Chapter
Substitute Domination Relation for High Objective Number Optimization
Author : Sofiene Kachroudi
Published in: Swarm, Evolutionary, and Memetic Computing
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In this paper, we introduce the average rank dominance relation which substitutes the Pareto domination relation for high objective number optimization. The substitute relation is based on the performances of the solutions in each objective and calculated as the average rank of the solutions on each objective. In addition, the paper studies substituting the Pareto domination relation by the new domination relation in the well known multi-objective algorithms NSGAII and SMPSO which are based respectively on the genetic and particle swarm optimization. The new algorithms are tested on the first four problems of DTLZ family and compared to the original algorithms via new performance indicators.