本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2000
摘要
Co演化, between a 族群 of candidate solutions and a 族群 of test cases, has received increasing attention as a promising 生物ly inspired method for improving the performance of 演化ary computation techniques. However, the results of studies of co演化 have been mixed. One of the seemingly more impressive results to date was the improvement via co演化 demonstrated by Juille and Pollack on evolving 細胞自動機 to perform a classification task. Their Study, however, Like most other studies on co演化, did not investigate the mechanisms giving rise to the observed improvements. In this paper, we probe more deeply into the reasons for these observed improvements and present empirical evidence that, in contrast to what was claimed by Juille and Pollack, much of the improvement seen was due to their "resource sharing" t
※ 此為已發表論文，全文需透過期刊付費取得