
This repository contains two datasets applicable to the SaDE-RD algorithm. The first consists of six XLSX files, which store the information of 15, 30, 45, 60, 75 and 90 student residential areas respectively, with each file including the longitude, latitude and the number of students in each residential area. The second is the CEC2014 benchmark set file derived from the dataset published by Liang J J et al., which contains various vectors required for running the 30 functions of the CEC2014 benchmark set.
School Location Problem, DE
School Location Problem, DE
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
