Journal
COMPUTING
Volume 93, Issue 2-4, Pages 121-133Publisher
SPRINGER WIEN
DOI: 10.1007/s00607-011-0154-z
Keywords
Decision theory; Evolutionary algorithms; Mathematical programming; Nature-inspired meta-heuristics; Operations research; Optimization
Categories
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available