RND@Home

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).
- Year of conclusion: 2008
- Number of teams: 39
- Number of participants: 81
- Running platforms: BOINC (Windows, Linux)
- Final Team Rank: 4th
- Final Team Points: 15,927.07
- Number of Members: 1
- Number of Members Countries: 1
|
|
Homepage (doesn't exist anymore)
Category:
Projects Finished in 2008