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Genetic algorithm for optimization: preprocessing with n dimensional bisection and error estimation
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Shaykhian, Gholam Ali Sen, S. K. |
| Copyright Year | 2006 |
| Description | A knowledge of the appropriate values of the parameters of a genetic algorithm (GA) such as the population size, the shrunk search space containing the solution, crossover and mutation probabilities is not available a priori for a general optimization problem. Recommended here is a polynomial-time preprocessing scheme that includes an n-dimensional bisection and that determines the foregoing parameters before deciding upon an appropriate GA for all problems of similar nature and type. Such a preprocessing is not only fast but also enables us to get the global optimal solution and its reasonably narrow error bounds with a high degree of confidence. |
| File Size | 977250 |
| Page Count | 14 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20130011188 |
| Archival Resource Key | ark:/13960/t5v74df14 |
| Language | English |
| Publisher Date | 2006-08-09 |
| Access Restriction | Open |
| Subject Keyword | Mathematical And Computer Sciences (general) Error Analysis Populations Preprocessing Stochastic Processes Probability Theory Polynomials Genetic Algorithms Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
