Performance evaluation of the Genetic Landscape Evolution (GLE) model with respect to crossover schemes

Jongchun Kim, Kyungrock Paik

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

Abstract

We investigate performance of the Genetic Landscape Evolution (GLE) model by changing number of crossover points, which controls spatial cohesiveness of topological information in generated offspring. Simulation results show that 1) GLE performance is insensitive to the number of crossover points, implying that the spatial cohesiveness does not significantly affect efficiency to find better solution sets; and 2) the method to generate randomness in GLE is a significant element for its performance.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages377-383
Number of pages7
Volume382
ISBN (Print)9783662479254
DOIs
Publication statusPublished - 2016
Event2nd International Conference on Harmony Search Algorithm, ICHSA 2015 - Seoul, Korea, Republic of
Duration: 2015 Aug 192015 Aug 21

Publication series

NameAdvances in Intelligent Systems and Computing
Volume382
ISSN (Print)21945357

Other

Other2nd International Conference on Harmony Search Algorithm, ICHSA 2015
CountryKorea, Republic of
CitySeoul
Period15/8/1915/8/21

Keywords

  • 2-D crossover
  • Genetic algorithm
  • Genetic landscape evolution
  • Optimal channel network

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Kim, J., & Paik, K. (2016). Performance evaluation of the Genetic Landscape Evolution (GLE) model with respect to crossover schemes. In Advances in Intelligent Systems and Computing (Vol. 382, pp. 377-383). (Advances in Intelligent Systems and Computing; Vol. 382). Springer Verlag. https://doi.org/10.1007/978-3-662-47926-1_36