This paper addresses the problem of topic clustering, through the utilization of a novel genetic algorithm approach which is highly scalable on large volumes of textual data, by introducing a centroid ...

A dual-encoding-based genetic algorithm (DEGA) is developed to solve the problem. In DEGA, a dual-encoding scheme is adopted for solution representation, in which the execution order of all tasks is ...