Volume 6 - Issue 10
Convergence analysis for combinatorial optimization problems based on Ito process
Abstract
The paper provided some theoretical results about the convergence of ITO algorithm for combinatorial optimization problems. The transform probability of wave operator and move operator studied in detail. The almost sure convergence to the global optimum is obtained by transforming the search process of ITO algorithm to the discrete sub-martingale. Furthermore, the expected time of one particle in ITO algorithm is analyzed.
Paper Details
PaperID: 78149401200
Author's Name: Yu, R., Dong, W., Lei, M.
Volume: Volume 6
Issues: Issue 10
Keywords: Convergence analysis, ITO algorithm, Move operator, Wave operator
Year: 2010
Month: October
Pages: 3147 - 3154