DocumentCode :
2370761
Title :
Glowworm swarm optimization and heuristic algorithm for rectangle packing problem
Author :
Zeng, Yu ; Zhang, Jine
Author_Institution :
Sch. of Sci., Hubei Univ. of Technol., Wuhan, China
fYear :
2012
fDate :
23-25 March 2012
Firstpage :
136
Lastpage :
140
Abstract :
With the background of satellite module layout, This paper combines heuristic strategy with the glowworm swarm optimization for the problem of rectangle layout optimization with equilibrium constraint. We use heuristic strategy to divide the circular container into four sub-regions, which are layout synchronously. When the rectangle layout area has been decided, the bottom left fill strategy is used to layout the rectangle. On the basis of the heuristic strategy, glowworm swarm optimization algorithm is applied to search for the optimal placing order, and finally the optimal layout is obtained. The simulation numerical results show that this paper algorithm is more effective than the existing algorithms.
Keywords :
artificial satellites; bin packing; constraint theory; containers; particle swarm optimisation; container; equilibrium constraint; glowworm swarm optimization; heuristic algorithm; rectangle layout optimization; rectangle packing problem; satellite module layout; Algorithm design and analysis; Containers; Heuristic algorithms; Layout; Optimization; Particle swarm optimization; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2012 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-4577-0343-0
Type :
conf
DOI :
10.1109/ICIST.2012.6221623
Filename :
6221623
Link To Document :
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