An evaluation of non-redundant objective sets based on the spatial similarity ratio
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| 008 | 210128e20150801xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1409-3 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1409-3 | ||
| 245 | 0 | 3 | |a An evaluation of non-redundant objective sets based on the spatial similarity ratio |h [Elektronische Daten] |c [Juan Zou, Jinhua Zheng, Cheng Deng, Ruimin Shen] |
| 520 | 3 | |a Multi-objective optimization is a challenging task in many disciplines. Although a number of algorithms have simplified this problem by degenerating redundant objectives into low-dimensional sets, there is currently no consensus method for evaluating their performance. In this paper, we propose an evaluation method that uses a spatial similarity ratio (SSR) to determine the quality of non-redundant objective sets (NRSs). We consider the reduction of all NRSs of three functions from 5D to 2D or 3D using our SSR-based method, and compare the results to those given by an inverted generational distance-based method. The results demonstrate that our method is more accurate, as it takes information from both the non-redundant and redundant objective sets into consideration. In addition, using the proposed SSR-based approach, no prior knowledge of the true Pareto set is required. Therefore, we can conclude that our SSR-based method is feasible for the assessment of non-redundant objective sets. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Multi-objective optimization |2 nationallicence | |
| 690 | 7 | |a Redundant objective reduction algorithm |2 nationallicence | |
| 690 | 7 | |a Non-redundant objective sets |2 nationallicence | |
| 690 | 7 | |a Spatial similarity ratio |2 nationallicence | |
| 690 | 7 | |a Evaluation methodology |2 nationallicence | |
| 700 | 1 | |a Zou |D Juan |u Information Engineering College of Xiangtan University, Xiangtan, Hunan Province, China |4 aut | |
| 700 | 1 | |a Zheng |D Jinhua |u Information Engineering College of Xiangtan University, Xiangtan, Hunan Province, China |4 aut | |
| 700 | 1 | |a Deng |D Cheng |u Information Engineering College of Xiangtan University, Xiangtan, Hunan Province, China |4 aut | |
| 700 | 1 | |a Shen |D Ruimin |u Information Engineering College of Xiangtan University, Xiangtan, Hunan Province, China |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/8(2015-08-01), 2275-2286 |x 1432-7643 |q 19:8<2275 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1409-3 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1409-3 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zou |D Juan |u Information Engineering College of Xiangtan University, Xiangtan, Hunan Province, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zheng |D Jinhua |u Information Engineering College of Xiangtan University, Xiangtan, Hunan Province, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Deng |D Cheng |u Information Engineering College of Xiangtan University, Xiangtan, Hunan Province, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Shen |D Ruimin |u Information Engineering College of Xiangtan University, Xiangtan, Hunan Province, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/8(2015-08-01), 2275-2286 |x 1432-7643 |q 19:8<2275 |1 2015 |2 19 |o 500 | ||