Old wine in a new bottle is a phrase for expressing an existing concept or institution offered as though it were a new one.

In my field of study (evolutionary/nature inspired algorithms) I bumped into some proposed algorithms/methods (cuckoo search, bat algorithm, grey wolf algorithm ,...) that are highly cited in academic papers in various engineering fields of study. After reading a lot of papers on evolutionary algorithms and their origins I personally (and also many others) believe  that many of the new algorithms are "fabricated methods created by cutting and glueing parts of a few old and well-known algorithms and adding some story about the behaviour of an animal or natural phenomena to call it  nature inspired !".

I categorize the researchers who use these Old-wine-in-a-new-bottle evolutionary algorithms into 2 groups:

- (group 1) The ones who are mere users, and only want to write a new paper or the ones who have little knowledge of this field,

- (group 2) and people who are familiar enough to see that these methods are modified/cut-and-glued old methods with fancy new names but nothing new!

I presume that many of the people reading this question have experienced this "Old wine in a new bottle situation" as "group 2" researchers in their fields.

I am wondering "How should we respond to it? or is it good/bad and why ?"

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