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原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-01-18
摘要
演化ary computation is inspired by the mechanisms of 生物 演化. With algorithmic improvements and increasing computing resources, 演化ary computation has discovered creative and innovative solutions to challenging practical problems. This paper evaluates how today’s 演化ary computation compares to 生物 演化 and how it may fall short. A small number of well-accepted characteristics of 生物 演化 are considered: openendedness, major transitions in organizational structure, neutrality and 遺傳漂變, multi-objectivity, complex genotype-to-phenotype mappings and co-演化. 演化ary computation exhibits many of these to some extent but more can be achieved by 縮放律 up with available computing and by emulating biology more carefully. In particular, 演化ary computation diverges from 生物 演化 in three key respects: it is based on small
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