Please use this identifier to cite or link to this item:
|Title:||Empirical study of population diversity in permutation-based genetic algorithm|
|Authors:||Zhu, K.Q. |
|Citation:||Zhu, K.Q.,Liu, Z. (2004). Empirical study of population diversity in permutation-based genetic algorithm. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3103 : 420-421. ScholarBank@NUS Repository.|
|Abstract:||This paper presents an empirical study of population diversity measure and adaptive control of diversity in the context of a permutation-based algorithm for Traveling Salesman Problems and Vehicle Routing Problems. © Springer-Verlag Berlin Heidelberg 2004.|
|Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 27, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.