帕累托原理
免疫球蛋白D
功能(生物学)
数学
数学优化
优势(遗传学)
多目标优化
帕累托最优
集合(抽象数据类型)
灵敏度(控制系统)
计算机科学
生物
工程类
进化生物学
电子工程
免疫学
基因
抗体
生物化学
程序设计语言
B细胞
作者
Hisao Ishibuchi,Hiroyuki Masuda,Yusuke Nojima
标识
DOI:10.1145/2739480.2754792
摘要
The inverted generational distance (IGD) has been frequently used as a performance indicator for many-objective problems where the use of the hypervolume is difficult. However, since IGD is not Pareto compliant, it is possible that misleading Pareto incompliant results are obtained. Recently, a simple modification of IGD was proposed by taking into account the Pareto dominance relation between a solution and a reference point when their distance is calculated. It was also shown that the modified indicator called IGD+ is weakly Pareto compliant. However, actual effects of the modification on performance comparison have not been examined. Moreover, IGD+ has not been compared with other distance-based weakly Pareto compliant indicators such as the additive epsilon indicator and the D1 indicator (i.e., IGD with the weighted achievement scalarizing function). In this paper, we examine the effect of the modification by comparing IGD+ with IGD for multiobjective and many-objective problems. In computational experiments, we generate a large number of ordered pairs of non-dominated solution sets where one is better than the other. Two solution sets in each pair are compared by the above-mentioned performance indicators. We examine whether each indicator can correctly say which solution set is better between them.
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