A Genetic Algorithm with Modified Crossover Operator for a Two-Agent Scheduling Problem

Yazdani, Maziyar; Jolai, Fariborz

Journal of System Management

Issue 3 Vol. 1 Summer 2015

Submit Your Paper
Review for this publication

PDF XML

Downloads : 42

Export Article
- BibTex
- EndNote
- RIS
- ISI
- APA
- MLA
- HARVARD
- VANCOUVER
- Mendeley
- HTML
Related Links
- Google Scholar
More by Authors Link
- DOAJ
  - Maziyar Yazdani
  - Fariborz Jolai
- Google Scholar
  - Maziyar Yazdani
  - Fariborz Jolai
- PubMed
  - Maziyar Yazdani
  - Fariborz Jolai

Share To

Article Url

Manuscript ID : 517109 Visit : 218 Page: 1 - 13

Article Type: Original Research

A Genetic Algorithm with Modified Crossover Operator for a Two-Agent Scheduling Problem

Subject Areas : Business Strategy

Maziyar Yazdani ¹ , Fariborz Jolai ²

1 - Department of Industrial Engineering, University of Tehran, Tehran, Iran
2 - Department of Industrial Engineering, University of Tehran, Tehran, Iran

Received: 2014-07-20 Accepted : 2014-09-20 Published : 2015-07-01

Keywords:

Abstract :

References:

Share To

Article Url

A Genetic Algorithm with Modified Crossover Operator for a Two-Agent Scheduling Problem

Sanad

Links

Related Centers

Technical Support

Official pages