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This article explores the order batching problem (OBP), in warehouse of e-commerce companies. Based on the real E-commence warehouse case, we present a valid tabu search(TS) algorithm to determine how to group the orders in batches, with a greed-based seed heuristic method generating its initial solution. In tabu search, a modified combined picker routing algorithm for the multiple-cross-aisle picker...
Vertical handoff is crucial to future wireless communication. In this paper, a two-step vertical handoff decision algorithm based on dynamic weight compensation is proposed. This algorithm adopts the filtering mechanism to reduce the system cost and improves the conventional algorithm by dynamic weight compensation and consistency adjustment. The experimental results show that our algorithm outperforms...
The energy consumption of information and communication technology (ICT) industry has become a serious problem, which mostly comes from the network infrastructure, rather than the mobile terminals. In this paper, we consider densely deployed cellular networks where the coverage of base stations (BSs) overlaps and the traffic intensity varies over time and space. An energy saving algorithm is proposed...
QoS guarantee in mobile ad hoc network is a challenging problem and has received much attention. Although the access policy with reservation of TDMA can support some QoS services, the extra delay introduced by its time multiplexed communication make it can not be adapted to large scale network. To solve the problem, we propose a heuristic optimal delay routing algorithm which chooses delay as the...
With the increased recognition of importance of design for testability, there is an increasing trend toward the development of efficient test strategies for system maintenance. An important issue in practical situation is the imperfect nature of tests, i.e., the tests can have missed detections and false alarms. An error diagnosis may result in false removal and missed repair of the components, thus,...
In this paper, we propose a novel framework for video-based facial expression recognition, which can handle the data with various time resolution including a single frame. We first use the haar-like features to represent facial appearance, due to their simplicity and effectiveness. Then we perform K-Means clustering on the facial appearance features to explore the intrinsic temporal patterns of each...
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