Evolvable Systems: From Biology to Hardware

Evolvable Systems: From Biology to Hardware
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可进化系统:从生物学到硬件

DOI:
10.1007/978-3-642-15323-5_4
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发表时间:
2010
期刊:
--
影响因子:
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通讯作者:
Bremner P
Bremner P
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作者:
Bremner P

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这项工作是一项研究的可行性,使用复杂的积木(称为分子)内的进化计算范式的CGP,将其扩展到MolCGP。增加构建块的复杂性增加了要探索以找到解决方案的设计空间;因此,进行实验以找出这种变化是否影响所需的最佳参数设置。结果表明,相同程度的中性和(贪婪)1+4进化策略给出了最佳性能。计算了用于解决一系列基准问题的计算工作量,并与CGP的标准实现进行了比较。MolCGP在测试的4个基准问题中的3个中施加了显着更少的计算工作。此外,研究了2位乘法器问题的进化解决方案之一,并观察到分子中存在的功能性以如果使用标准设计技术则极不可能的方式被进化利用。
This work is a study of the viability of using complex building blocks (termed molecules) within the evolutionary computation paradigm of CGP; extending it to MolCGP. Increasing the complexity of the building blocks increases the design space that is to be explored to find a solution; thus, experiments were undertaken to find out whether this change affects the optimum parameter settings required. It was observed that the same degree of neutrality and (greedy) 1+4 evolution strategy gave optimum performance. The Computational Effort used to solve a series of benchmark problems was calculated, and compared with that used for the standard implementation of CGP. Significantly less Computational Effort was exerted by MolCGP in 3 out of 4 of the benchmark problems tested. Additionally, one of the evolved solutions to the 2-bit multiplier problem was examined, and it was observed that functionality present in the molecules, was exploited by evolution in a way that would be highly unlikely if using standard design techniques.
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