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Self-paced learning (SPL), a recently proposed learning strategy, which progressively adds instances to train from simplicity to complexity, could typically reduce the risk of achieving local optima. SPL selects instances based on their losses among the entire data set in each iteration. This probably causes that the selected instances are highly imbalanced, e.g., very few (even on) instances of some...
One of effective ways resolving group decision problems is utilizing group decision support systems (GDSS). However, the component that executes the function of comprehensive disposing decisions usually is the voter with intelligence in a GDSS now. In this paper, we design an intelligent group decision voter to resolve group decision problems among three parties in the logistics system, including...
Logistics and delivery is one of the key issues in operating management of supply chain. Up to date, there is little work in the literature about goods fill question in logistics and delivery. In the paper, we build up a goods fill model on the basis of effective space concept, called effective space model. We provide subspace partition and mathematical expression of extreme effective space. The space...
In the integrated model, which is composed of the vehicle fill problem, VFP for short, and the vehicle scheduling problem, VSP for short, according to their interrelationship and interrestriction, the solution of VFP takes the key role to ensure the whole solutions of the model are high efficient and feasible. By researching on the problem of vehicle loading based on effective space, a method has...
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