The Elite Optimality Procedure for Multi-Objective Evolutionary Algorithms

被引：0

作者：

Truong Hong Trinh ^{[1
]}

机构：

[1] Univ Danang, Univ Econ, Vietnam 71 Ngu Hanh Son St, Danang City, Vietnam

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, SIMULATION AND MODELLING | 2016年 / 41卷

关键词：

multi-objective imization; multi-objective evolutionary algorithms; pareto front; elite optimality; OPTIMIZATION;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Multi-Objective Evolutionary Algorithms (MOEAs) are likely used to identify non-dominated solutions or Pareto front (the known Pareto front) in multi-objective optimization problems. The quality of Pareto front depends on evolution strategies that are evaluated under performance metrics of generational distance, spacing, and error ratio. In this paper, a procedure of Elite optimality is proposed to transform the known Pareto front (PFknown) into the true Pareto front (PFtrue). The Elite optimality procedure improves the quality of the Pareto fronts that deals with the biggest challenge in the multi-objective evolutionary algorithms.

引用

页码：133 / 137

页数：5

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