Reference set metrics for multi-objective algorithms

Chilukuri K. Mohan, Kishan G. Mehrotra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Several metrics and indicators have been suggested in the past to evaluate multi-objective evolutionary and non-evolutionary algorithms. However, these metrics are known to have many problems that make their application sometimes unsound, and sometimes infeasible. This paper proposes a new approach, in which metrics are parameterized with respect to a reference set, on which depend the properties of any metric.

Original languageEnglish (US)
Title of host publicationSwarm, Evolutionary, and Memetic Computing - Second International Conference, SEMCCO 2011, Proceedings
Pages723-730
Number of pages8
EditionPART 1
DOIs
StatePublished - 2011
Event2nd International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011 - Visakhapatnam, Andhra Pradesh, India
Duration: Dec 19 2011Dec 21 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7076 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011
CountryIndia
CityVisakhapatnam, Andhra Pradesh
Period12/19/1112/21/11

Keywords

  • Metrics
  • Multi-objective Algorithms
  • Reference Set

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Mohan, C. K., & Mehrotra, K. G. (2011). Reference set metrics for multi-objective algorithms. In Swarm, Evolutionary, and Memetic Computing - Second International Conference, SEMCCO 2011, Proceedings (PART 1 ed., pp. 723-730). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7076 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-27172-4_85