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3 results about "Quantum evolutionary algorithm" patented technology

Park microgrid regulation and control method based on improved C-type equivalent circuit

The invention discloses a park micro-grid regulation and control method based on an improved C-type equivalent circuit, and belongs to the park micro-grid regulation and control technology. The method comprises the following steps: constructing an energy storage optimization framework of electricity-hydrogen-heat multi-energy flow coupling; establishing a multi-energy flow coupling model based on the improved C-type equivalent circuit; an improved quantum evolutionary algorithm is adopted to solve an optimal solution, an objective function optimal solution meeting constraint conditions is searched, and an optimal equivalent circuit parameter and a scheduling strategy are output; and each unit sends an operation control instruction to coordinate the operation state of each device so as to realize collaborative optimization regulation and control of electricity-hydrogen-heat multi-energy flow in the park microgrid. According to the method, the C-type equivalent circuit model is improved, three energy flows of electricity, hydrogen and heat are innovatively incorporated into a unified modeling framework, a hydrogen energy storage equivalent resistor and a heat recovery equivalent capacitor are newly added, complete mathematical description of the multi-energy flow coupling characteristic is achieved, and the multi-energy cooperative regulation efficiency and the energy comprehensive utilization degree of the park microgrid are effectively improved.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY

A 5G base station deployment optimization method based on an improved quantum evolutionary algorithm

PendingCN122294129AQuantum evolutionary algorithmSpatial mapping
This invention discloses a 5G base station deployment optimization method based on an improved quantum evolution algorithm, comprising: acquiring geographical data and defining initial conditions; constructing a multi-level candidate site pool; establishing an objective function that balances coverage performance and construction economy; performing population encoding based on qubit probability amplitude to achieve an equal-probability superposition state; obtaining discrete base station deployment schemes by observing the superposition state during quantum evolution, and ensuring that the schemes meet preset construction indicators through heuristic repair logic; guiding the population to evolve towards the optimal region by updating the probability amplitude of qubits based on an adaptive quantum rotation gate update mechanism; outputting the global optimal solution and performing spatial mapping to obtain the optimized deployment scheme. This invention, through the combination of differentiated modeling of heterogeneous networks and quantum search logic, can effectively reduce signal overlap redundancy between base stations and achieve optimal network coverage performance configuration with limited construction resources.
Owner:NANJING NORMAL UNIVERSITY

A Method and System for Fish Propagation Quota in Plateau Lakes and Reservoirs Based on Ecological Carrying Capacity Analysis

ActiveCN120765063BData processing applicationsEnsemble learningFish stockingQuantum evolutionary algorithm
This invention discloses a method and system for allocating fish stock enhancement quotas in plateau lakes and reservoirs based on ecological carrying capacity analysis. The method includes: acquiring lake / reservoir environmental perception information; preprocessing the information and constructing a distribution map of lake / reservoir environmental parameters; extracting multimodal features from the environmental parameter distribution map to generate multimodal fusion features, constructing an ecological carrying capacity analysis model, and performing ecological carrying capacity analysis on the target plateau lake / reservoir to obtain ecological carrying capacity analysis information; introducing a quantum evolutionary algorithm to combine the ecological carrying capacity analysis information and the multimodal fusion features to perform fish stock enhancement quota analysis and generate a stock enhancement quota scheme; conducting spatial value assessment of the target plateau lake / reservoir to generate a value heatmap; and using an ant colony optimization algorithm to optimize the stock enhancement quota allocation path to obtain a stock enhancement allocation path network to assist in fish stock enhancement quota allocation in the lake / reservoir. This improves the effectiveness and ecological stability of fish stock enhancement in plateau lakes and reservoirs.
Owner:云南省渔业科学研究院