4.5 Article

Recent trends indicate rapid growth of nature-inspired optimization in academia and industry

期刊

COMPUTING
卷 93, 期 2-4, 页码 121-133

出版社

SPRINGER WIEN
DOI: 10.1007/s00607-011-0154-z

关键词

Decision theory; Evolutionary algorithms; Mathematical programming; Nature-inspired meta-heuristics; Operations research; Optimization

向作者/读者索取更多资源

Although researchers often comment on the popularity of nature-inspired meta-heuristics (NIM), there has been very little empirical data to support the claim that NIM are growing in prominence compared to other optimization techniques. This paper presents strong evidence that the use of NIM is not only growing, but indeed appears to have surpassed mathematical optimization techniques and other meta-heuristics in several metrics related to academic research activity (publication frequency) and commercial activity (patenting frequency). Motivated by these findings, this article discusses some of the possible origins of this growing popularity including historical bias, conceptual appeal, simplicity of implementation, and algorithm utility.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据