首页> 外文会议>International conference and exhibition on high-performance computing and networking;HPCN Europe 1996 >A Cellular Genetic Algorithm for the Floorplan Area Optimization Problem on a SIMD Architecture
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A Cellular Genetic Algorithm for the Floorplan Area Optimization Problem on a SIMD Architecture

机译:SIMD架构上平面布局面积优化问题的细胞遗传算法

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摘要

This paper describes a tool implementing a Cellular Genetic Algorithm (CGA) [Balu93] for the solution of a combinatorial problem taken from the Electronic CAD area. Once an Integrated Circuit has been fully designed at the gate level, its layout must be drawn on the silicon surface, and the modules which compose it must be placed on the silicon area (Floorplan Design). A common practice is to first determine the relative positions of modules and then chose for each module the implementation which optimizes a given cost function.
机译:本文介绍了一种工具,该工具实现了细胞遗传算法(CGA)[Balu93],用于解决电子CAD领域中的组合问题。一旦在门级完全设计了集成电路,则必须在硅表面上绘制其布局,并且必须将组成该集成电路的模块放在硅区域(Floorplan设计)。一种常见的做法是先确定模块的相对位置,然后为每个模块选择优化给定成本函数的实现。

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