7results about How to "Expand the solution space" patented technology

The invention discloses a workshop scheduling method considering AGV transportation time based on a near-end strategy optimization algorithm, and the method comprises the steps: obtaining an action space, a process local state, a machine local state and an AGV local state according to a current workshop state, carrying out the coding in sequence, and obtaining a process state feature, a machine state feature and an AGV state feature; inputting the state characteristics into a trained strategy network for decoding to obtain action values of the process action, the machine action and the AGV action; the method comprises the following steps: performing normalization processing on an action value, selecting and executing a process selection action, a machine selection action and an AGV selection action with the highest probability in an action space, updating a current workshop environment based on the executed actions, and repeating the steps until all scheduling processes are completed, so that the expansibility of an algorithm and the overall operation efficiency are improved.

The invention relates to the technical field of flexible job shop scheduling in intelligent manufacturing, in particular to an optimization method for a flexible job shop scheduling problem considering adjustment time, and the method comprises the steps: initializing parameters of a collaborative variable neighborhood search algorithm; initializing a population; jittering operation is executed, and two new solutions are generated through the jittering operation; executing a variable neighborhood descent operation; updating the current algebra; judging whether a restart strategy is executed or not; and selecting a solution with shorter maximum completion time in the improved solutions generated by the collaborative variable neighborhood search algorithm as an initial solution of the constrained programming model, and further optimizing the quality of the solution through the constrained programming model. The invention provides an effective method for solving the problem of flexible job shop scheduling considering the adjustment time of sequence dependence, and makes substantial progress in reducing the maximum completion time of the shop.

The invention provides a parking path planning method and device, a storage medium and an electronic device, and the method comprises the steps: determining the parking direction of a vehicle, and obtaining the environment perception information of the vehicle before parking; a path end point channel of the vehicle is calculated according to the parking-out direction and the environment perception information, and the path end point channel corresponds to the distribution range of path end points of a parking-out path of the vehicle; and planning a parking path meeting a collision constraint condition based on the path end point channel. According to the embodiment of the invention, the technical problem of low flexibility of planning the parking path of the vehicle in related technologies is solved, the flexibility of planning the parking path is improved, and the planning success rate of the parking path is also improved.

The application belongs to the technical field of integrated circuit hardware security, and discloses a dynamic key encryption device and method based on a key check code, which comprises a dynamic key generation module, a trigger signal generation module and a dynamic key check module, an initial key signal is input into the dynamic key generation module, the dynamic key generation module outputs a dynamic key signal to the dynamic key check module, the dynamic key check module acquires an original circuit signal from an original circuit and outputs an encrypted circuit signal to the original circuit, the trigger signal generation module acquires an original circuit state machine signal from the original circuit and outputs a trigger signal to the dynamic key generation module and the dynamic key check module; the application constrains and expands the bit width of an original key by using a check bit, avoids the situation that a solver directly solves one code in a cyclic code and causes the key to be directly cracked, increases the solving space of the solver, and delays the cracking speed of reverse engineering.

The invention belongs to the technical field of integrated circuit hardware security, and discloses a dynamic key encryption device and method based on a key check code, and the device comprises a dynamic key generation module, a trigger signal generation module and a dynamic key check module, the dynamic secret key generation module outputs a dynamic secret key signal to the dynamic secret key checking module, the dynamic secret key checking module obtains an original circuit signal from an original circuit and outputs an encrypted circuit signal to the original circuit, and the trigger signal generation module obtains an original circuit state machine signal from the original circuit. A trigger signal is output to the dynamic key generation module and the dynamic key check module; according to the method and the device, the original key is subjected to constraint and bit width expansion by using the check bit, so that the situation that the key is directly cracked due to the fact that the solver directly solves one code in the cyclic code is avoided, the solving space of the solver is increased, and the cracking speed of reverse engineering is delayed.

The invention provides an order allocation method and device, a storage medium and a program product, and relates to the technical field of computers. The method comprises the following steps: obtaining order information of a to-be-allocated order, order back information of a plurality of delivery resources and delivery resource positions of the plurality of delivery resources; for each delivery resource, constructing a position relation matrix corresponding to each delivery resource based on the order information, the order information and the delivery resource position; based on the position relation matrix corresponding to each distribution resource, carrying out multiple times of cyclic taking and sending sequence solving to obtain a target taking and sending sequence corresponding to each distribution resource; and determining a target delivery resource from the plurality of delivery resources based on the target delivery sequence corresponding to the plurality of delivery resources, and allocating the to-be-allocated order to the target delivery resource. According to the method, the solution space can be effectively improved to effectively screen the local optimal solution, so that the to-be-allocated order is allocated to a more appropriate target delivery resource.

The embodiment of the invention provides a control method of a dual-active-bridge micro inverter and related equipment, and belongs to the technical field of power electronic converter control. The method comprises the following steps: firstly, establishing a unilateral asymmetric duty ratio modulation model based on three variables of an external phase shift angle D1, an internal phase shift angle D2 and switching frequency, and deducing transmission power and soft switching constraint conditions; secondly, the switching frequency is dynamically adjusted according to the voltage phase of the power grid, and high frequency is adopted near voltage zero crossing to expand the soft switching range; thirdly, in a rated frequency interval of main power transmission, taking minimization of current stress as a target, adopting an improved self-adaptive particle swarm algorithm to carry out on-line optimization on D2 under the soft switching constraint, and calculating a corresponding D1; and finally, combining the optimized frequency with the phase shift angle feed-forward quantity and the feedback compensation quantity to generate a PWM driving signal. According to the invention, the large-range soft switching of a whole power frequency period is realized, the conduction loss is obviously reduced, and the system efficiency and reliability are improved.