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Optimal solution assessment method, optimal solution assessment program, and optimal solution assessment device

A judging method and technology of the best solution, which is applied in the field of optimality of the solution

Pending Publication Date: 2019-09-17
FUJIFILM CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Also, to solve the graph search (graph mining) problem of calculating to what extent the RNA expression matrix data obtained by the graph structure can be explained, and to search for the graph most suitable for the obtained data

Method used

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  • Optimal solution assessment method, optimal solution assessment program, and optimal solution assessment device
  • Optimal solution assessment method, optimal solution assessment program, and optimal solution assessment device
  • Optimal solution assessment method, optimal solution assessment program, and optimal solution assessment device

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no. 1 Embodiment approach

[0104] Figure 4 yes means image 3 The shown functional block diagram of the functions of the CPU 12 of the optimal solution determination device 10 is a functional block diagram showing the first embodiment of the present invention.

[0105] The CPU 12 functions as various processing units by executing an optimal solution determination program stored in the hard disk device 20, Figure 4 The first embodiment shown has an evaluation value acquisition unit 102 functioning as a solution extraction unit 100, a first evaluation value acquisition unit, and a second evaluation value acquisition unit, a solution input unit 104, and a first maximum evaluation value estimation. The functions of the first comparison unit 106 , the first comparison unit 108 and the first determination unit 110 .

[0106] The solution extraction unit 100 is a part that uniformly extracts the solution (graph) on the solution space of the combinatorial optimization problem (gene control network). In this...

no. 2 Embodiment approach

[0160] Figure 16 yes means image 3 The shown functional block diagram of the functions of the CPU 12 of the optimal solution determination device 10 is a functional block diagram showing the second embodiment of the present invention. in addition, Figure 16 in, right with Figure 4 The parts common to the first embodiment shown are denoted by the same symbols, and detailed description thereof will be omitted.

[0161] Figure 16 Compared with the first embodiment, the shown second embodiment mainly adds a second maximum evaluation value estimation unit 112 , a second comparison unit 114 , and a second determination unit 116 .

[0162] In the first embodiment, even if the optimality adequacy determination of the solution candidate (G_1) succeeds, there is a possibility that there are other equally reliable solution candidates other than the solution candidate (G_1).

[0163] In the second embodiment, it can be determined that there is no equally reliable solution candid...

no. 3 Embodiment approach

[0212] The third embodiment of the optimal solution determination method according to the present invention is included in Figure 19 In the second embodiment shown, the processing when the optimal sufficiency determination fails.

[0213] That is, when the optimal adequacy determination fails, the Figure 19 In the shown step S30 (the 15th step), a certain range from the graph G_1 is enlarged on the solution space, and the third multiple graphs G_3 (third multiple solutions) are evenly extracted on the solution space outside the enlarged certain range .

[0214] And, re-execute the acquisition of the third plurality of evaluation values ​​corresponding to the third plurality of graphs G extracted on the solution space outside the enlarged certain range (step S32, the sixteenth step), and perform the operation based on the third plurality of evaluation values. Estimation of the third maximum evaluation value W (step S34, 17th step) and comparison between the evaluation value...

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Abstract

Provided is an optimal solution assessment method with which the optimality of a solution in a combinatorial optimization problem is assessed by a computer. A plurality of solutions upon a solution space of a combinatorial optimization problem is uniformly extracted as a first plurality of solutions, and on the basis of a first plurality of evaluation values which are respectively associated with each of the uniformly extracted first plurality of solutions, an estimation is made, as a first maximum evaluation value Z, of the maximum evaluation value for a situation wherein a quantity of solutions has been envisioned which exceeds the quantity of the first plurality of solutions. When a solution candidate (graph G_1) which is associated with the solution space is inputted (step S18), an evaluation value S_1 which is associated with the graph G_1 is acquired, the acquired evaluation value S_1 is compared with the first maximum evaluation value Z, and an assessment is made as to whether the evaluation value S_1 of the inputted graph G_1 falls within a confidence interval of the first maximum evaluation value Z (that is, whether the graph G_1 is a first optimal solution).

Description

technical field [0001] The invention relates to a method for judging an optimal solution, a program for judging an optimal solution and a device for judging an optimal solution, in particular to a technology for judging the optimality of a solution in a combined optimization problem. Background technique [0002] In recent years, the demand for data analysis such as data mining for big data has gradually increased. As one of the important fields of data analysis, there are combinatorial optimization problems (for example, including the well-known traveling salesman (traveling salesman) problem, etc.). [0003] Combinatorial optimization problems contain a large number of NP (non-deterministic polynomial time, Non-deterministicPolynomial time) complete or difficult NP problems. That is, in general, when the scale of the problem becomes large, the amount of calculation explodes due to an order of magnitude higher than that of an exponential function, so it is basically imposs...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00G06N7/00G06Q10/04
CPCG06Q10/04G16B40/00G06F17/11G16B25/10G16B5/20G06N3/126G06N5/01G16B30/00
Inventor 长濑雅也
Owner FUJIFILM CORP