All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Abstract

Study on examination center scheduling problem based on genetic algorithm

Author(s): Tao Ze, Liang Ying

A new hybrid flow shop scheduling problem is studied, which is abstracted from the physical examination centre. The problem is characterized by multi-stage unrelated parallel rooms and continuous examination. Firstly, the math model of this hybrid scheduling problem is constructed. And then the computation method of examination period is given. In order to keep examining continuously, the examination period is obtained through reversely pushing from the examination scheduling problem with multistage unrelated parallel rooms and examining interruption. Then the scheduling results are obtained based on genetic algorithm and simulated annealing algorithm. Function objective of the proposed method was to minimize the examination period. Finally scheduling results based on two cases show that the method proposed in this paper is effective and feasible


Share this       
Awards Nomination

Table of Contents

Google Scholar citation report
Citations : 875

BioTechnology: An Indian Journal received 875 citations as per Google Scholar report

Indexed In

  • CASS
  • Google Scholar
  • Open J Gate
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • Cosmos IF
  • Directory of Research Journal Indexing (DRJI)
  • Secret Search Engine Labs
  • Euro Pub
  • ICMJE

View More

Flyer