Systematic Pareto optimal set uniformity verification for multi-objective problems

作者：Okafor Gabriel Ekene^*; Sun Youchao; Wu Haiqiao; Lu Zhong

来源：Journal of Information and Computational Science, 2012, 9(12): 3325-3338.

• Bi-objective optimization
• Genetic-based algorithms
• Identification algorithms
• Multi objective
• Multi objective optimizations (MOO)
• Multi-objective problem
• NSGA-II
• Pareto set
• Pareto-optimal sets
• Series-parallel system

Identification of the best known uniformly distributed Pareto set is the motivation of most multi-objective research. This research work proposed a multi-objective genetic based algorithm called Genetic Pareto Set Identification Algorithm (GPSIA) and a systematic approach to calculate the distance between two successive points in the Pareto set. Bi-objective optimization problem of a series-parallel system was studied. Application of the systematic approach was used to assess the sensitivity of GPSIA, NSGA-II and SPEA-2 to variation and results were discussed.

• 出版日期2012
• 单位南京航空航天大学