计算机应用研究2024，Vol.41Issue(1)：150-158,9.DOI:10.19734/j.issn.1001-3695.2023.06.0221
自适应状态转移模拟退火算法及其应用
Adaptive state transition simulated annealing algorithm and its application
摘要
Abstract
State transition simulated annealing(STASA)algorithm has achieved outstanding results in solving complex optimi-zation problems.However,its search efficiency depends on the selection of search operators and parameter values,resulting in low efficiency in some high-dimensional complex problems.This paper proposed an adaptive state transition simulated annealing(STASA)algorithm by introducing adaptive operators and parameter selection strategies to improve the applicability and effi-ciency of the algorithm.And it improved the translation operator by referring the mean update method of swarm intelligence al-gorithms to enhance the search characteristics of operator.This paper demonstrates the effectiveness of ASTSA and the im-proved strategy through experimental validation with 23 benchmark test functions and 8 engineering design problems and com-parision with other algorithms.关键词
状态转移模拟退火算法/自适应策略/连续优化问题/工程设计问题Key words
state transition simulated annealing algorithm/adaptation strategy/continuous optimization problem/enginee-ring design problem分类
信息技术与安全科学引用本文复制引用
徐博,韩晓霞,董颖超,卢佳振,武晋德,张文杰..自适应状态转移模拟退火算法及其应用[J].计算机应用研究,2024,41(1):150-158,9.基金项目
国家自然科学基金资助项目(62176176) （62176176）
