基于堆栈的遗传规划

Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence Pub Date : 1994-06-27 DOI:10.1109/ICEC.1994.350025

Tim Perkis

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引用次数: 165

摘要

遗传规划(GP)领域最近的一些工作一直关注于寻找可进化和高效的计算机程序的最佳表示。本文描述了一种新的GP系统，其中目标程序运行在基于堆栈的虚拟机上。该系统在效率和实现的简单性方面具有一定的优势，并且在某些问题上，其有效性显示与现有方法相当或优于现有方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Stack-based genetic programming

Some recent work in the field of genetic programming (GP) has been concerned with finding optimum representations for evolvable and efficient computer programs. This paper describes a new GP system in which target programs run on a stack-based virtual machine. The system is shown to have certain advantages in terms of efficiency and simplicity of implementation, and for certain problems, its effectiveness is shown to be comparable or superior to current methods.<>

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Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence

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