Sensitivity analysis on migration parameters of parallel harmony search

Ari Hong, Donghwi Jung, Jiho Choi, Joong Hoon Kim

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

2 Citations (Scopus)

Abstract

Parallel Harmony Search (PHS) is a harmony search variant that employs parallel computing approach for improving the final solution quality of harmony search. A preliminary version of PHS was introduced in 2015 and applied to a highly nonlinear water infrastructure planning problem with extreme dimensionality. The application results showed that the PHS was promising and efficient in finding a feasible and near-optimal solution for such problem. However, sensitivity analysis on migration parameters of PHS should be performed to guarantee the best performance of PHS. Migration parameters of interest are migration frequency, migration topology, migration size, and so forth. In this study, PHSs with different migration frequencies are compared with respect to the final solution quality to identify the most efficient frequency in the water infrastructure planning problem.

Original languageEnglish
Title of host publicationHarmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)
EditorsJavier Del Ser
PublisherSpringer Verlag
Pages3-7
Number of pages5
ISBN (Print)9789811037276
DOIs
Publication statusPublished - 2017
EventProceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 - Bilbao, Spain
Duration: 2017 Feb 222017 Feb 24

Publication series

NameAdvances in Intelligent Systems and Computing
Volume514
ISSN (Print)2194-5357

Other

OtherProceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017
Country/TerritorySpain
CityBilbao
Period17/2/2217/2/24

Keywords

  • Migration frequency
  • Parallel harmony search
  • Sensitivity analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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