Learning enhanced simulated annealing

Details Learning enhanced simulated annealing Learning enhanced simulated annealing

2007-05-22

2010-11-23

Sparks, Donald (Department: 2129)

Data processing: artificial intelligence

Machine learning

C706S045000, C706S046000, C706S048000, C706S059000, C706S062000

Reexamination Certificate

active

07840504

ABSTRACT:
A Learning Enhanced Simulated Annealing (LESA) method is provided. Based on a Simulated Annealing (SA) framework, this method adds a Knowledge Base (KB) initialized at the beginning of the search and updated at each iteration, which memorizes a portion of the search history and guides the further search through a KB trial generator. The basic idea of LESA is that its search history is stored in a KB, and a KB trial generator extracts information from it and uses it to generate a new trial. The next move of the search is the weighted sum of the trial generated by the KB trial generator and the trial generated by the usual SA trial generator. The knowledge base is then updated after each search iteration.

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