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Many real-world networks, including online social networks and communication networks, are commonly modeled as temporal graphs. Answering earliest-arrival queries in temporal graphs is one of the most fundamental studies with numerous applications, such as information diffusion and measuring temporal closeness centrality. As graph sizes are growing rapidly, speedup of query execution time becomes...
Due to globalization of economy, the supply chains are vulnerable to disruptive events. In addition, lean initiatives often lead to single supplier, which is vulnerable to supply disruption. In this paper, two strategies are proposed for generating supply chain networks to improve the resilience of supply chain networks: hierarchical preferential attachment and hierarchical random attachment. The...
The importance of domain knowledge in the design of effective evolutionary algorithms (EAs) is widely acknowledged in the meta-heuristics community. In the last few decades, a plethora of EAs has been manually designed by domain experts for solving domain-specific problems. Specialization has been achieved mainly by embedding available domain knowledge into the algorithms. Although programming libraries...
Maintaining interactivity is one of the key challenges in distributed virtual environments (DVE) due to the large, heterogeneous Internet latency and the fact that clients in a DVE are usually geographically separated. Previous work in this area have dealt with optimizing interactivity performance given limited server resource. In this paper, we consider a new problem, termed the performance-constrained...
In distributed virtual environments, e.g., online gaming, collaborative designs and distributed military simulations, interactivity is one of the most important requirements. The users may notice serious degradations in quality of service when interacting in the virtual world if the response from the system is much slower than what they have experienced in real life. In this paper, we consider the...
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