Repository logoGCRIS
  • English
  • Türkçe
  • Русский
Log In
New user? Click here to register. Have you forgotten your password?
Home
Communities
Browse GCRIS
Entities
Overview
GCRIS Guide
  1. Home
  2. Browse by Author

Browsing by Author "Fan, Jiaxin"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Conference Object
    Citation - WoS: 2
    A Variable Block Insertion Heuristic for Single Machine with Release Dates and Sequence Dependent Setup Times for Makespan Minimization
    (IEEE, 2019) Jiaxin Fan; Damla Kizilay; Hande Oztop; Kizilay, Damla; Oztop, Hande; Fan, Jiaxin
    This paper is concerned with solving the single machine scheduling problem with release dates and sequence-dependent setup times in order to minimize the makespan. For this purpose a variable block insertion heuristic (VBIH) algorithm is applied to the problem. The VBIH algorithm performs block moves on a given solution. Mainly it removes a block of jobs with a given size from the solution and inserts the block into the best position of the partial solution. Furthermore we present a novel profile-fitting constructive heuristic for the problem. We evaluate the performance of the VBIH algorithm by comparisons with the beam search heuristic and the iterated greedy algorithm from the literature. Extensive computational results on the benchmark suite consisting of 900 instances from the literature show that the proposed VBIH algorithm is very competitive to the recent beam search heuristic and iterated greedy algorithm from the literature.
Repository logo
Collections
  • Scopus Collection
  • WoS Collection
  • TrDizin Collection
  • PubMed Collection
Entities
  • Research Outputs
  • Organizations
  • Researchers
  • Projects
  • Awards
  • Equipments
  • Events
About
  • Contact
  • GCRIS
  • Research Ecosystems
  • Feedback
  • OAI-PMH

Log in to GCRIS Dashboard

GCRIS Mobile

Download GCRIS Mobile on the App StoreGet GCRIS Mobile on Google Play

Powered by Research Ecosystems

  • Privacy policy
  • End User Agreement
  • Feedback