Multi-Objective Evolutionary Optimization for Hardware-Aware Neural Network Pruning
Chinese Academy of SciencesThis paper frames hardware-aware neural network pruning as a multi-objective optimization problem and introduces HAMP, a memetic Multi-Objective Evolutionary Algorithm (MOEA) that optimizes both accuracy and hardware efficiency through portfolio-based selection and surrogate-assisted local search.