Two hybrid compaction algorithms for the layout optimization problem
- 作者：Ren-Bin Xiao ; Yi-Chun Xu ; Martyn Amos
- 关键词：Layout optimization ; Gradient descent ; Particle swarm optimization ; Simulated annealing
- 刊名：Biosystems
- 出版年：2007
- 期刊代码：38_03032647
- 类别：med
- 出版时间：September-October 2007
- 卷：90
- 期：2
- 页码：560-567
- 文件大小：298 K
摘要
In this paper we present two new algorithms for the layout optimization problem: this concerns the placement of circular, weighted objects inside a circular container, the two objectives being to minimize imbalance of mass and to minimize the radius of the container. This problem carries real practical significance in industrial applications (such as the design of satellites), as well as being of significant theoretical interest. We present two nature-inspired algorithms for this problem, the first based on simulated annealing, and the second on particle swarm optimization. We compare our algorithms with the existing best-known algorithm, and show that our approaches out-perform it in terms of both solution quality and execution time.