Hybrid Algorithm for Solving a Design Optimization Problems

L. Gladkov, N. V. Gladkova, D. Y. Gusev
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Abstract

This article describes an integrated approach to the placement and tracing of super large integrated circuits. The approach is based on a joint decision of such integrated circuits using fuzzy genetic methods. The authors describe the problem under consideration and show a brief analysis of existing approaches to its solution. The article describes the following main points: the structure of the proposed algorithm and its main stages; developed genetic operators crossover; proposed model of the formation of the population of solutions; developed heuristics, operators and search strategies for optimal solutions. The article shows the results of computational experiments. These experiments confirm the effectiveness of the proposed method. The authors comment on the brief analysis of the results.
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求解设计优化问题的混合算法
本文描述了一种集成的方法来放置和跟踪超大型集成电路。该方法采用模糊遗传方法对集成电路进行联合决策。作者描述了正在考虑的问题,并对现有的解决方法进行了简要分析。本文主要介绍了以下几点:本文提出的算法结构及其主要阶段;开发了遗传算子交叉;提出了群体解的形成模型;开发最优解的启发式、算子和搜索策略。文中给出了计算实验结果。实验验证了该方法的有效性。作者对结果进行了简要分析。
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