Loading...
Please wait, while we are loading the content...
Similar Documents
Bell-curve genetic algorithm for mixed continuous and discrete optimization problems
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Sykes, Ruth Griffith, Michelle Kincaid, Rex K. Sobieszczanski-Sobieski, Jaroslaw |
| Copyright Year | 2002 |
| Description | In this manuscript we have examined an extension of BCB that encompasses a mix of continuous and quasi-discrete, as well as truly-discrete applications. FVe began by testing two refinements to the discrete version of BCB. The testing of midpoint versus fitness (Tables 1 and 2) proved inconclusive. The testing of discrete normal tails versus standard mutation showed was conclusive and demonstrated that the discrete normal tails are better. Next, we implemented these refinements in a combined continuous and discrete BCB and compared the performance of two discrete distance on the hub problem. Here we found when "order does matter" it pays to take it into account. |
| File Size | 735093 |
| Page Count | 12 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20030009797 |
| Archival Resource Key | ark:/13960/t58d4vq9d |
| Language | English |
| Publisher Date | 2002-01-01 |
| Access Restriction | Open |
| Subject Keyword | Computer Programming And Software Set Theory Complex Variables Aircraft Design Hubs Weighting Functions Optimization Genetic Algorithms Discretization Mathematics Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
