Name
Title | ||
|---|---|---|
MRI magnet design: search space analysis, EDAs and a real-world problem with significant dependencies |
Abstract | ||
|---|---|---|
This paper introduces the design of superconductive magnet configurations in Magnetic Resonance Imaging (MRI) systems as a challenging real-world problem for Evolutionary Algorithms (EAs). Analysis of the problem structure is conducted using a general statistical method, which could be easily applied to other problems. The results suggest that the problem is highly multimodal and likely to present a significant challenge for many algorithms. Through a series of preliminary experiments, a continuous Estimation of Distribution Algorithm (EDA) is shown to be able to generate promising designs with a small computational effort. The importance of utilizing problem-specific knowledge and the ability of an algorithm to capture dependencies in solving complex real-world problems is also highlighted. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1145/1068009.1068362 | GECCO |
Keywords | Field | DocType |
EDAs,real-world problem,MRI | EDAS,Mathematical optimization,Evolutionary algorithm,Estimation of distribution algorithm,Computer science,Magnet,Artificial intelligence,Machine learning | Conference |
ISBN | Citations | PageRank |
1-59593-010-8 | 0 | 0.34 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuan Bo | 1 | 532 | 47.01 |
| Marcus Gallagher | 2 | 181 | 15.27 |
| Stuart Crozier | 3 | 130 | 14.02 |