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As a population-based method, evolutionary algorithms have been extensively used to solve multi-objective optimization problems. However, most of the current multi-objective evolutionary algorithms (MOEAs) cannot strike a good balance between the closeness to the true Pareto front and the uniform distribution of non-dominated solutions. In this paper, we(More)
Link-based similarity measures play a significant role in many graph based applications. Consequently, measuring node similarity in a graph is a fundamental problem of graph datamining. Personalized pagerank (PPR) and simrank (SR) have emerged as the most popular and influential link-based similarity measures. Recently, a novel link-based similarity(More)
The study on selection approaches on multiobjective evolutionary algorithms (MOEAs) is scarce. This paper mostly investigates various selection approaches on MOEAs. Firstly, the paper discusses how to construct an appropriate fitness function in multiobjective optimization problem(MOP), then, selection approaches are classified as five categories through(More)
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