Abstract. We establish a generic theoretical tool to construct probabilistic bounds for algorithms where the output is a subset of objects from an initial pool of candidates (or mo...
Abstract. MOEA/D is a novel and successful Multi-Objective Evolutionary Algorithms(MOEA) which utilizes the idea of problem decomposition to tackle the complexity from multiple obj...
Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Cao ...
Abstract— This paper describes an original approach to writing reactive algorithms on highly dynamic networks. We propose to use randomly mobile agents to gather global informati...
The global internet is rich in commodity resources but scarce in specialized resources. We argue that a grid framework can achieve better performance if it separates the management...
A partitioning of a set of n items is a grouping of these items into k disjoint, equally sized classes. Any partition can be modeled as a graph. The items become the vertices of th...