期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：237
期号：5
页码：052048
DOI：10.1088/1755-1315/237/5/052048
出版社：IOP Publishing
摘要：This paper proposed a navel encoding strategy with multiple segments of swarm intelligence optimization algorithms to solve the set-covering location-allocation problem with collaborative inventory. It divided an individual expression into several segments and then decoded the location and allocation information. By this encoding strategy, the discrete and continuous problems can be analysed simultaneously. It could improve the search efficiency of the swarm intelligence optimization algorithms to solve the problem. The experiment results showed that the strategy was viable and could be applied for the selected algorithms to optimize the set-covering location-allocation problem with collaborative inventory.
