Multi-Grid Genetic Algorithms For Optimal Radiation Shield Design.

Genetic Algorithm;Radiation Shield;Nuclear Engineering and Radiological Sciences;Engineering;Nuclear Engineering & Radiological Sciences

Asbury, Stephen T.Martin, WilliamR. ;

University of Michigan

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

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/91388/stasbury_1.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 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.