Skip to main navigation Skip to search Skip to main content

An advanced harmony search algorithm based on harmony anchoring and reverse learning

  • Lin Liu
  • , Daming Shi*
  • , Dansong Cheng
  • , Maysam Orouskhani
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology
  • Shenzhen University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a new and effective multi-objective optimization algorithm based on a modified harmony search. The proposed method employs reverse learning in the harmony vector updating equation in order to enhance the global searching ability. Moreover, it adopts a harmony anchoring scheme so that unnecessary exploration is avoided. Experimental studies carried on eight benchmark problems show quite satisfactory results and indicate the higher performance of the proposed algorithm in comparison with traditional multi-objective optimization algorithms. Finally, it has been applied to solve the image segmentation problem.

Original languageEnglish
Title of host publicationProceedings - IEEE 31st International Conference on Tools with Artificial Intelligence, ICTAI 2019
PublisherIEEE Computer Society
Pages1724-1728
Number of pages5
ISBN (Electronic)9781728137988
DOIs
StatePublished - Nov 2019
Externally publishedYes
Event31st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2019 - Portland, United States
Duration: 4 Nov 20196 Nov 2019

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Volume2019-November
ISSN (Electronic)2375-0197

Conference

Conference31st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2019
Country/TerritoryUnited States
CityPortland
Period4/11/196/11/19

Keywords

  • Harmony Anchoring
  • Harmony Search
  • Multi-objective optimization
  • Reverse learning

Fingerprint

Dive into the research topics of 'An advanced harmony search algorithm based on harmony anchoring and reverse learning'. Together they form a unique fingerprint.

Cite this