Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)
Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)
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自然启发的优化合作策略 (NICSO 2011)
DOI：
10.1007/978-3-642-24094-2_5
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Terrazas G
中科院分区：
文献类型：
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作者：
Terrazas G
在之前的工作中，我们已经报道了自组装王牌瓷砖的进化设计优化。除了已有的发现[11]之外，还没有关于个体被评估的有效性的说法。尤其是当从基因型到表型的映射以及从这个到适应度的映射是一个错综复杂的关系时。在这篇文章中，我们的目标是报告我们的遗传算法，使用形态图像分析作为适应度函数，是否是一种有效的方法。因此，我们在这里提出了适应度距离相关性，以衡量当基因-表型-适应度映射是复杂的、随机的和非线性的关系时，个体的适应度与其到已知最优的基因型距离的相关性的有效性。
In a previous work we have reported on the evolutionary design optimisation of self-assembling Wang tiles. Apart from the achieved findings [11], nothing has been yet said about the effectiveness by which individuals were evaluated. In particular when the mapping from genotype to phenotype and from this to fitness is an intricate relationship. In this paper we aim to report whether our genetic algorithm, using morphological image analyses as fitness function, is an effective methodology. Thus, we present here fitness distance correlation to measure how effectively the fitness of an individual correlates to its genotypic distance to a known optimum when the genotype-phenotype-fitness mapping is a complex, stochastic and non-linear relationship.