Invention Grant
- Patent Title: Local search with global view for large scale combinatorial optimization
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Application No.: US16888445Application Date: 2020-05-29
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Publication No.: US11625451B2Publication Date: 2023-04-11
- Inventor: Avradip Mandal , Arnab Roy , Sarvagya Upadhyay , Hayato Ushijima-Mwesigwa , Xiaoyuan Liu
- Applicant: FUJITSU LIMITED
- Applicant Address: JP Kawasaki
- Assignee: FUJITSU LIMITED
- Current Assignee: FUJITSU LIMITED
- Current Assignee Address: JP Kawasaki
- Agency: Maschoff Brennan
- Main IPC: G06F17/11
- IPC: G06F17/11 ; G06Q10/04 ; G06N20/00

Abstract:
A method of solving a large scale combinatorial optimization problem including inputting, via at least one processor, an objective function and an initial solution as a mapping from a plurality of n nodes, randomly clustering the plurality of nodes into k clusters of n/k nodes each, for each cluster of the k clusters, assigning binary variables to denote each possible permutation of a label set within the cluster, determining that there are u=k2 variables if k>2, and u=1 variables if k=2, expressing the objective function in terms of the un/k variables, solving the objective function in terms of the un/k variables using a Quadratic Unconstrained Binary Optimization (QUBO) solver to obtain an updated solution, determining whether a convergence criteria is satisfied for the updated solution, and upon a determination that a convergence criteria is satisfied, outputting the updated solution to the objective function.
Public/Granted literature
- US20210064687A1 LOCAL SEARCH WITH GLOBAL VIEW FOR LARGE SCALE COMBINATORIAL OPTIMIZATION Public/Granted day:2021-03-04
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