ISDE +An Indicator for Multi and Many-Objective Optimization

Trinadh Pamulapati, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan

Research output: Contribution to journalArticlepeer-review

162 Scopus citations

Abstract

In this letter, an efficient indicator for multi and many-objective optimization is proposed. The proposed indicator ( I-{{SDE}} + ) is a combination of sum of objectives and shift-based density estimation and benefits from their ability to promote convergence and diversity, respectively. An evolutionary multiobjective optimization framework based on the proposed indicator is shown to perform comparably or better than the state-of-the-art on a variety of scalable benchmark problems.

Original languageEnglish
Article number8388296
Pages (from-to)346-352
Number of pages7
JournalIEEE Transactions on Evolutionary Computation
Volume23
Issue number2
DOIs
StatePublished - Apr 2019

Keywords

  • Indicator-based
  • many-objective
  • multiobjective
  • shift-based density estimation (SDE)
  • weighted sum (WS) of objectives

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