A Generalization of the Averaged Hausdorff Distance
DOI:
https://doi.org/10.13053/cys-22-2-2950Keywords:
averaged Hausdorff distance, generational distance, inverted generational distance, multiobjective optimization, performance indicator, power meansAbstract
The averaged Hausdorff distance p is aninframetric which has been recently used in evolutionary multiobjective optimization (EMO). In this paper we introduce a new two-parameter performance indicator p,q which generalizes p as well as the standard Hausdorff distance. For p, q > 1 the indicator p,q (that we call the (p, q)-averaged distance) turns out to be aproper metric and preserves some of the p advantages. We proof several properties of p,q, and provide acomparison with p and the standard Hausdorff distance. For simplicity we restrict our selves to finite sets, which is the most common case, but our results can be extended to the continuous case.Downloads
Published
2018-06-29
Issue
Section
Articles of the Thematic Issue
License
Hereby I transfer exclusively to the Journal "Computación y Sistemas", published by the Computing Research Center (CIC-IPN),the Copyright of the aforementioned paper. I also accept that these
rights will not be transferred to any other publication, in any other format, language or other existing means of developing.I certify that the paper has not been previously disclosed or simultaneously submitted to any other publication, and that it does not contain material whose publication would violate the Copyright or other proprietary rights of any person, company or institution. I certify that I have the permission from the institution or company where I work or study to publish this work.The representative author accepts the responsibility for the publicationof this paper on behalf of each and every one of the authors.
This transfer is subject to the following conditions:- The authors retain all ownership rights (such as patent rights) of this work, except for the publishing rights transferred to the CIC, through this document.
- Authors retain the right to publish the work in whole or in part in any book they are the authors or publishers. They can also make use of this work in conferences, courses, personal web pages, and so on.
- Authors may include working as part of his thesis, for non-profit distribution only.