OPTIMIZATION APPARATUS, OPTIMIZATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

    公开(公告)号:US20240054441A1

    公开(公告)日:2024-02-15

    申请号:US18270822

    申请日:2021-12-06

    CPC classification number: G06Q10/08355 G06Q10/047 G06Q50/28

    Abstract: There is provided an optimization apparatus that reduces the time required to create a delivery plan. An optimization apparatus (100) includes an acquisition unit (110) that acquires delivery information regarding each of one or more products for each of a plurality of consumption locations, an identification unit (120) that identifies a plurality of delivery task candidates departing from a delivery source, delivering the one or more products to each of one or more consumption locations, and returning to the delivery source, a determination unit (130) that determines, based on the delivery information, at least one of evaluation values and a vehicle type of a delivery vehicle for each candidate, and a selection unit (140) that selects a plurality of delivery tasks from the plurality of identified candidates based on a result of optimizing an objective function based on a determination result.

    PARAMETER GENERATION DEVICE, METHOD AND PROGRAM

    公开(公告)号:US20250013711A1

    公开(公告)日:2025-01-09

    申请号:US18712310

    申请日:2022-11-07

    Inventor: Hiroshi CHISHIMA

    Abstract: The input means 81 accepts input of a condition to be satisfied by a parameter. The model generation means 82 converts the input condition into a model represented by a Hamiltonian. The annealing process means 83 generates an Ising model from the converted model and inputs the generated Ising model to an annealing machine to perform annealing. The output means 84 converts an annealing result into the parameter and outputs the parameter.

    ALLOCATION DETERMINATION APPARATUS, ALLOCATION DETERMINATION METHOD, AND COMPUTER-READABLE MEDIUM

    公开(公告)号:US20230288527A1

    公开(公告)日:2023-09-14

    申请号:US18032884

    申请日:2020-10-29

    CPC classification number: G01S5/02528

    Abstract: When determining, from a plurality of sensors (10), a sensor (10) for observing a plurality of moving objects (20), based on positions of the plurality of moving objects (20), an allocation determination apparatus (2000) executes annealing on an allocation determination model of which value is larger as the number of the moving objects (20) that are not observed by any of the plurality of sensors (10) is larger, and of which value is smaller as the number of the moving objects (20) that are not observed by any of the plurality of sensors (10) is smaller, and thereby determines allocation of the moving object (20) to each of the sensors (10) in a case in which the value of the allocation determination model decreases.

    SOLUTION SYSTEM, SOLUTION METHOD, AND SOLUTION PROGRAM

    公开(公告)号:US20220335323A1

    公开(公告)日:2022-10-20

    申请号:US17642332

    申请日:2019-09-24

    Abstract: Provided is a solution system capable of reducing the amount of computation when solving a combinatorial optimization problem by applying an energy function in a model representing a state of individual spins by a first value or a second value to simulated annealing. The input unit 2 receives input of an energy function in a model representing states of individual spins by a first value or a second value, wherein the energy function is corresponding to a combinatorial optimization problem to be solved. In a process of the simulated annealing, the simulated annealing unit 3 selects a spin, selects a set to which the spin belongs, and changes the states of one or more spins including the spin while a condition where the set satisfies a constraint is maintained, when the set satisfies the predetermined constraint and the state of the spin is determined to be changed.

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