Multiobjective evolutionary algorithms: A survey of the state of the art

نویسندگان

  • Aimin Zhou
  • Bo-Yang Qu
  • Hui Li
  • Shi-Zheng Zhao
  • Ponnuthurai N. Suganthan
  • Qingfu Zhang
چکیده

This paper reviews some state-of-the-art hybrid multiobjective evolutionary algorithms (MOEAs) dealing with multiobjective optimization problem (MOP). The mathematical formulation of a MOP and some basic definition for tackling MOPs, including Pareto optimality, Pareto optimal set (PS), Pareto front (PF) are provided in Section 1. Section 2 presents a brief introduction to hybrid MOEAs.

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عنوان ژورنال:
  • Swarm and Evolutionary Computation

دوره 1  شماره 

صفحات  -

تاریخ انتشار 2011