@Article{JICS-1-161,
author = {},
title = {An Improved Annealing Algorithm Based on Multi-Agent},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {1},
number = {3},
pages = {161--167},
abstract = { Considering  the  characteristics  of Simulated  Annealing  Algorithm  (SAA),  based  on  the  agents’ 
perception and retroaction to their surroundings, in this paper a new algorithm called Multi-agent Annealing 
Algorithm  (MAA)  is  presented.  And  the  global  convergence  of  MAA  is  gotten.  Finally,  we  make  several 
numerical  experiments  to  compare  MAA  with  SAA  and  Genetic  Algorithm  (GA)  by  three  classical  test 
functions in optimization, which suggest that MAA is superior to GA and SAA. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22840.html}
}