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Glowworm swarm optimization and heuristic algorithm for rectangle packing problem

机译:晶虫群优化与矩形包装问题的启发式算法

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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:随着卫星模块布局的背景,本文将启发式策略与宏脉冲优化问题与均衡约束相结合。 我们使用启发式策略将圆形容器分成四个子区域,它们同步布局。 当决定矩形布局区域时,左下填充策略用于布局矩形。 在启发式策略的基础上,辉放群优化算法应用于搜索最佳配料顺序,最后获得最佳布局。 仿真数值结果表明,该纸张算法比现有算法更有效。

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