Use of context blocks in genetic programming for evolution of robot morphology

M. Gregor, J. Spalek, J. Capak
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引用次数: 12

Abstract

The paper explores application of genetic programming to evolution of robot morphology, and co-evolution of morphology and low-level control. Extensions to standard genetic programming are presented that allow for straight-forward storage, retrieval, transfer, modification of data stored in the context of a syntactic tree, and shared by multiple nodes. These extensions are used to embed a genetic algorithm within the genetic programming approach to evolve values of constants. Experimental results are presented and evaluated.
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上下文块在机器人形态进化遗传规划中的应用
本文探讨了遗传规划在机器人形态进化中的应用,以及形态与底层控制的协同进化。提出了对标准遗传编程的扩展,允许直接存储、检索、传输和修改存储在语法树上下文中的数据,并由多个节点共享。这些扩展用于在遗传规划方法中嵌入遗传算法来演化常数值。给出了实验结果并进行了评价。
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