WeCon introduces gated residual fusion in the encoder, residual fusion in the decoder, and efficient preference optimization to match state-of-the-art hypervolume on MOCOPs while cutting inference time by 40%.
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WeCon: An Efficient Weight-Conditioned Neural Solver for Multi-Objective Combinatorial Optimization Problems
WeCon introduces gated residual fusion in the encoder, residual fusion in the decoder, and efficient preference optimization to match state-of-the-art hypervolume on MOCOPs while cutting inference time by 40%.