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RND@Home

RND@Home BOINC

Radio Network Design (RND) is a telecommunication problem which consists in covering a geographic area with radio signal using the fewer number of transmitters that cover the maximum area. Therefore, it is an important topic to solve nowadays, for example in the mobile wireless technology domain, mobile telephony,... Bio-inspired algorithms are a good choice to solve the RND problem, because this is an NP-hard optimization problem which fits bio-inspired algorithms very well. In this project it is used the PBIL (Population-Based Incremental Learning) algorithm. This is a modern algorithm, and we hope to get good results with it. PBIL is based on genetic algorithms and competitive learning (typical in neural networks).

Project Info
  • Year of conclusion: 2008
  • Number of teams: 39
  • Number of participants: 81
  • Running platforms: BOINC (Windows, Linux)


AMD Users Team Facts
  • Final Team Rank: 4th
  • Final Team Points: 15,927.07
  • Number of Members: 1
  • Number of Members Countries: 1


AMD Users Team
Pos. Country Member Name World Rank Country Rank Points
 1 USA  BobCat13 6th  1st  15,927.07 


External Links

Homepage (doesn't exist anymore)


Categories
Created by NeoGen. Last Modification: Saturday 26 of November, 2016 00:16:45 MST by NeoGen.