Performance assessment of DMOEA-DD with CEC 2009 MOEA competition test instances

Autor:	Xiufen Zou, Minzhong Liu, Yu Chen, Zhijian Wu
Rok vydání:	2009
Předmět:	Set (abstract data type) Competition (economics) Mathematical optimization Pareto principle Domain decomposition methods Set theory Performance metric Evolutionary computation Mathematics Test (assessment)
Zdroj:	IEEE Congress on Evolutionary Computation
DOI:	10.1109/cec.2009.4983309
Popis:	In this paper, the DMOEA-DD, which is an improvement of DMOEA[1, 2] by using domain decomposition technique, is applied to tackle the CEC 2009 MOEA competition test instances that are multiobjective optimization problems (MOPs) with complicated Pareto set (PS) geometry shapes. The performance assessment is given by using IGD [3, 4] as performance metric.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ba4bfdffa4bdec255f2caa0dc01b0ab7 https://doi.org/10.1109/cec.2009.4983309 Zobrazit plný text záznamu