Systematic searches for good multiple recursive random number generators

Chiang Kao, H. C. Tang

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


This paper proposes two systematic ways to search for good MRGs, in terms of the lattice structure, in a partially exhaustive manner. One is a backward method and the other is a forward method. Several good MRGs of order 1, 2, and 3, with modulus 231 - 1, found from these two methods are presented. When computational efficiency is the major concern, another group of MRGs where the approximate factoring technique can be applied are generated. Roughly speaking, the execution time of the k-term MRG is k times that of the one-term PMMCG. By adapting to the approximate factoring technique, there is a reduction of around 40% in execution time, with a trade-off of less satisfactory lattice structure of the RNs produced. These generators should be useful for computer simulation studies with different objectives, and the proposed methods are suitable for finding good MRGs of higher order.

Original languageEnglish
Pages (from-to)899-905
Number of pages7
JournalComputers and Operations Research
Issue number10
Publication statusPublished - 1997 Oct

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Modelling and Simulation
  • Management Science and Operations Research


Dive into the research topics of 'Systematic searches for good multiple recursive random number generators'. Together they form a unique fingerprint.

Cite this