Multi-Grid Genetic Algorithms For Optimal Radiation Shield Design.

[摘要] Genetic Algorithms (GA) are a powerful search and optimization technique that can be applied tonumerous problems. Unfortunately, GA relies on large numbers of fitness evaluations todetermine the relative merits of various solutions to a problem. For problems requiringcomputationally intensive fitness evaluations this can make GA too expensive to use. We describe ahierarchical technique that we have created called Multi-Grid Genetic Algorithms (MGGA). MGGA leverages the geometry of a problem space to build a hierarchy of increasingly smaller problem spaces. Optimizations over these smaller spaces are used to seed a population of solutions in a larger space. We explore how MGGA can be applied to several radiation shielding problems.

[发布机构] University of Michigan

[效力级别] Radiation Shield

[关键词] Genetic Algorithm;Radiation Shield;Nuclear Engineering and Radiological Sciences;Engineering;Nuclear Engineering & Radiological Sciences