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Found 4 papers, 1 papers with code
Large Language Model Aided Multi-objective Evolutionary Algorithm: a Low-cost Adaptive Approach
Multi-objective optimization is a common problem in practical applications, and multi-objective evolutionary algorithm (MOEA) is considered as one of the effective methods to solve these problems.
Principle Driven Parameterized Fiber Model based on GPT-PINN Neural Network
Therefore, the model can greatly alleviate the heavy burden of re-training since only the linear combination coefficients need to be found when changing the transmission condition.
Balancing the trade-off between cost and reliability for wireless sensor networks: a multi-objective optimized deployment method
In addition, this work fully considers the heterogeneity of SNs (i. e. differentiated sensing range and deployment cost) and three-dimensional (3-D) deployment scenarios.
Predicting vacant parking space availability zone-wisely: a graph based spatio-temporal prediction approach
Vacant parking space (VPS) prediction is one of the key issues of intelligent parking guidance systems.
