Multi-objective PSO based on grid strategy

Yanmin Liu, Ben Niu, Tung Sun Chan, Rui Liu, Changling Sui

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


In multi-objective optimization problem (MOP), keeping solution diversity is key case for solution quality. To improve the MOP quality, the diversity maintenance threshold value (λα) is proposed to keep solutions diversity based on adaptive grid strategy. These strategies can adaptive maintain the non-inferior diversity to improve swarm individual fly to the global optimal. Four test problems are selected to test the proposed strategy compared with other classical methods, and three performance metrics are chosen to explore the algorithm effectiveness.
Original languageEnglish
Title of host publicationIntelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Proceedings
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783319221854
Publication statusPublished - 1 Jan 2015
Event11th International Conference on Intelligent Computing, ICIC 2015 - Fuzhou, China
Duration: 20 Aug 201523 Aug 2015

Publication series

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


Conference11th International Conference on Intelligent Computing, ICIC 2015


  • Adaptive
  • Diversity maintenance
  • Grid strategy
  • Multi-objective optimization
  • Particle swarm optimizer

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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