@Article{JICS-1-61,
author = {},
title = {A Hybrid Genetic Algorithm for Bin Packing Problem Based on Item Sequencing},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {1},
number = {1},
pages = {61--64},
abstract = {The bin packing problem based on item sequencing is defined as follows: given a set of sequenced 
items of different sizes, how should one pack them all into bins of different capacity, in order to make the 
utility ratio of bin capacity as higher as possible? In this paper, next fit algorithm, a heuristic method for bin 
packing problem, is introduced into simple genetic algorithm, and a hybrid genetic algorithm is proposed for 
solving bin-packing problem based on item sequencing. In the hybrid genetic algorithm, the idea of simple 
genetic algorithm is used to search the solution of the bins sequence, and the idea of next fit algorithm is used 
to pack the sequenced items into the bins sequence obtained. Finally, the effectiveness of the hybrid genetic 
algorithm is convinced through computational results of an example. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22861.html}
}