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Glowworm swarm optimization and heuristic algorithm for rectangle packing problem

机译:萤火虫群优化和启发式算法求解矩形堆积问题

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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.
机译:以卫星模块布局为背景,将启发式策略与萤火虫群算法相结合,解决了带有平衡约束的矩形布局优化问题。我们使用启发式策略将圆形容器分为四个子区域,这些子区域是同步布局的。确定矩形布局区域后,将使用左下填充策略对矩形进行布局。在启发式策略的基础上,应用萤火虫群优化算法寻找最优的放置顺序,最终获得最优的布局。仿真数值结果表明,该算法比现有算法更有效。

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