精品文档---下载后可任意编辑面对变异设计的移植单元检索与融合过程进化技术的开题报告【摘要】随着软件系统规模的不断扩大，软件移植需求越来越广泛。移植过程需要对软件的各个单元进行检索和融合，而变异设计技术可以在保持原有功能的基础上对软件单元进行优化。因此，本文在讨论现有移植技术的基础上，提出了一种面对变异设计的移植单元检索与融合过程进化技术。该技术利用遗传算法和模拟退火算法对软件单元进行优化和搜索，从而实现更加高效和精确的软件移植。【关键词】移植单元检索；移植单元融合；变异设计技术；遗传算法；模拟退火算法【Abstract】With the constant expansion of the software system scale, the demand for software porting is becoming more and more widespread. The porting process requires retrieval and fusion of various units of software, while mutation design technology can optimize the software units on the basis of maintaining the original function. Therefore, based on the research of existing porting techniques, this paper proposes an evolutionary technology for porting unit retrieval and fusion process oriented towards mutation design. This technology uses genetic algorithms and simulated annealing algorithms to optimize and search software units, thereby achieving more efficient and accurate software porting.【Keywords】Porting unit retrieval; Porting unit fusion; Mutation design technology; Genetic algorithm; Simulated annealing algorithm
