Abstract: Permutation flowshop problem is a classic problem in combinatorial optimization. In this paper, we propose a deep reinforcement learning (DRL) model with heterogeneous network according to ...
General permutation invariant statistics in the second quantized approach are considered. Simple interpolations between dual statistics are constructed. Particularly, we present a new minimal ...
Abstract: A hybrid genetic approach is proposed for container loading in order to meet the up-to-date customer requirements in the logistics industry. Container loading is usually modeled as a ...
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