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The emergingeld of mobile computing (MC) studies systems in which computational components may change locations. In terms of hardware, mobile work is usually across heterogeneous systems in Web extended by novel mobile devices. In terms of software, mobile work technically involves mobile agents and new generation of middleware. However, in general mobile work presents a new challenge and great opportunities...
Multi-objective optimization is an important and challenging topic in the field of industrial design and scientific research because real-world problems usually involve several conflicting objectives. Since a multi-objective evolutionary algorithms (MOEA) is able to obtain an approximation to the Pareto optimal set and provide substantial information of the tradeoff between objectives, it is becoming...
Evolutionary algorithm (EA) is a population-based metaheuristic technique to effectively solve multiobjective optimization problem (MOP). However, it is still an active research topic how to improve the performance of MOEA algorithms. In this paper, we present a new FOPF algorithm,which can alleviate MOEA's disadvantage on time performance. First, a fast obtaining Pareto front approach with less computation...
Mining concept drifts is one of the most important fields in mining data streams. In this paper, a new ensemble algorithm called ICEA is proposed for mining concept drifts from data streams, which uses ensemble multi-classifiers to detect concept changes from the data streams in an incremental way. The experimental results show that ICEA algorithm performs higher accuracy and better adaptability than...
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