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首页> 外文期刊>Evolutionary Computation, IEEE Transactions on >Trustworthy Genetic Programming-Based Synthesis of Analog Circuit Topologies Using Hierarchical Domain-Specific Building Blocks
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Trustworthy Genetic Programming-Based Synthesis of Analog Circuit Topologies Using Hierarchical Domain-Specific Building Blocks

机译:基于可信赖的基于遗传程序设计的模拟电路拓扑的综合,使用分层领域特定的构建块

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摘要

This paper presents MOJITO, a system that performs structural synthesis of analog circuits, returning designs that are trustworthy by construction. The search space is defined by a set of expert-specified, trusted, hierarchically-organized analog building blocks, which are organized as a parameterized context-free grammar. The search algorithm is a multiobjective evolutionary algorithm that uses an age-layered population structure to balance exploration versus exploitation. It is validated with experiments to search across ${>}{100000}$ different one-stage and two-stage opamp topologies, returning human-competitive results. The runtime is orders of magnitude faster than open-ended systems, and unlike the other evolutionary algorithm approaches, the resulting circuits are trustworthy by construction. The approach generalizes to other problem domains which have accumulated structural domain knowledge, such as robotic structures, car assemblies, and modeling biological systems.
机译:本文介绍了MOJITO,该系统执行模拟电路的结构综合,返回可信赖的设计。搜索空间是由一组专家指定的,受信任的,按层次组织的模拟构造块定义的,这些构造块被组织为参数化的无上下文语法。搜索算法是一种多目标进化算法,它使用年龄分层的种群结构来平衡勘探与开发之间的关系。它已通过实验进行验证,可以搜索$ {>} {100000} $不同的一阶段和两阶段运算放大器拓扑,并返回具有竞争力的结果。运行时间比开放式系统快几个数量级,并且与其他进化算法方法不同,生成的电路在构造上值得信赖。该方法可以推广到其他具有累积结构领域知识的问题领域,例如机器人结构,汽车装配和生物系统建模。

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