3results about How to "Solve scheduling problems" patented technology

The present application relates to the technical field of flexible job shop scheduling in intelligent manufacturing and production scheduling, and particularly relates to an optimization method for solving flexible job shop scheduling with adjusted resource constraints. The method comprises the following steps: initializing parameters and randomly generating an initial population; using a crossover operator and a mutation operator in sequence to evolve the current population; executing a hybrid decoding strategy on the current population; sorting the individuals in the current population in ascending order of maximum completion time to form an elite population, and updating the elite population through problem-specific local search; judging whether the evolution condition is met, and if yes, executing mathematical evolution based on CP, and outputting a final solution when the running time reaches the total running time. The present application has the positive effects of reducing resource waiting time, improving machine utilization, and improving the resource utilization efficiency and scheduling performance of the entire workshop production.

This invention discloses a method and system for collaborative optimization of task scheduling and data caching, belonging to the fields of edge computing and mobile network technology. The method includes: constructing an edge computing environment through multiple edge servers, cloud servers, and a data cache; performing service chain-aware matching on arriving tasks within the edge computing environment to reuse computation results; scheduling tasks using a particle swarm optimization algorithm; obtaining a task scheduling scheme based on a comprehensive fitness function and task scheduling; executing the task scheduling scheme to obtain intermediate result data items; evaluating the value of the intermediate result data items using a multi-dimensional evaluation model to obtain a value evaluation result; updating the content of the data cache based on a genetic algorithm and the value evaluation result; and achieving collaborative optimization between repeated task scheduling and data caching. This invention achieves effective processing of tasks combining multiple services through a service chain-aware matching mechanism and establishes a bidirectional feedback collaborative optimization mechanism for task scheduling and data caching.

The invention relates to the technical field of Internet of Things, in particular to a device access system and method based on dynamic registration, the system comprises a dynamic registration service system and an Internet of Things platform system, the dynamic registration service system is used for obtaining a dynamic registration request sent by a device to be accessed and authenticating the dynamic registration request, the Internet of Things intermediate station system matches a target Internet of Things intermediate station according to the device type and the protocol type of the device to be accessed, and sends scheduling information to the dynamic registration service system; business of a traditional system is separated, the dynamic registration service system is only responsible for registration and authentication of the equipment and does not involve the function of a business level, the traditional business part is separated to a platform system in the Internet of Things to be carried out, the overall safety of the system is greatly improved, and the security of the system is greatly improved. And unified management of devices of different types and different protocols is facilitated.