DocumentCode
3722782
Title
Performance Measurement for Interactive Multi-objective Evolutionary Algorithms
Author
Long Nguyen;Hung Nguyen Xuan;Lam Thu Bui
Author_Institution
Dept. of Inf. Technol., Nat. Defense Acad., Hanoi, Vietnam
fYear
2015
Firstpage
302
Lastpage
305
Abstract
This paper suggests to use a different metric for performance of multiple-point interactive evolutionary multi-objective algorithms. We defined a preferred region based on a set of user´s reference points. Based on the preferred region, we also define a User based Front (UbF) which is generated from the preferred region. UbF is used in calculation of Generational Distance (GD) and Inverse Generational Distance (IGD). The usage of the metric in experiments indicated meaningful comparisons for interactive multi-objective evolutionary algorithms using multiple reference points.
Keywords
"Measurement","Optical fibers","Convergence","Optimization","Evolutionary computation","Sociology","Statistics"
Publisher
ieee
Conference_Titel
Knowledge and Systems Engineering (KSE), 2015 Seventh International Conference on
Type
conf
DOI
10.1109/KSE.2015.51
Filename
7371800
Link To Document