Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Exploring tradeoffs in pleiotropy and redundancy using evolutionary computing

[+] Author Affiliations
Matthew J. Berryman, Wei-Li Khoo, Hiep Nguyen, Andrew G. Allison, Derek Abbott

The Univ. of Adelaide (Australia)

Erin O'Neill

Univ. of Newcastle (Australia)

Proc. SPIE 5275, BioMEMS and Nanotechnology, 49 (March 29, 2004); doi:10.1117/12.548001
Text Size: A A A
From Conference Volume 5275

  • BioMEMS and Nanotechnology
  • Dan V. Nicolau; Uwe R. Muller; John M. Dell
  • Perth, Australia | December 09, 2003

abstract

Evolutionary computation algorithms are increasingly being used to solve optimization problems as they have many advantages over traditional optimization algorithms. In this paper we use evolutionary computation to study the trade-off between pleiotropy and redundancy in a client-server based network. Pleiotropy is a term used to describe components that perform multiple tasks, while redundancy refers to multiple components performing one same task. Pleiotropy reduces cost but lacks robustness, while redundancy increases network reliability but is more costly, as together, pleiotropy and redundancy build flexibility and robustness into systems. Therefore it is desirable to have a network that contains a balance between pleiotropy and redundancy. We explore how factors such as link failure probability, repair rates, and the size of the network influence the design choices that we explore using genetic algorithms.

© (2004) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Matthew J. Berryman ; Wei-Li Khoo ; Hiep Nguyen ; Erin O'Neill ; Andrew G. Allison, et al.
"Exploring tradeoffs in pleiotropy and redundancy using evolutionary computing", Proc. SPIE 5275, BioMEMS and Nanotechnology, 49 (March 29, 2004); doi:10.1117/12.548001; http://dx.doi.org/10.1117/12.548001


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.