Early years of Biased Random-Key Genetic Algorithms: A systematic review

A systematic review and bibliometric analysis of papers using biased random-key genetic algorithms.

Author
Mariana A. Londe, Luciana S. Pessoa, Carlos E. Andrade and Mauricio G.C. Resende
Published
2 May 2024
Kind
Technical report, systematic literature review with bibliometric analysis
Original
arxiv.org/html/2405.01765v1
Subject
Mathematics and optimization

What it is

Two Brazilian and two US-based researchers wrote a technical report. It follows an eight-step review method and uses the Scopus database. It asks who the key authors and papers are and how themes changed.

What it says

What evidence it gives

The report offers counts from a Scopus search plus snowballing. It has tables of authors, institutions and countries. It also has citation and keyword network maps. It describes each highly cited paper in a sentence or two. It runs no experiments of its own.

Interests and limits

Two of the four authors, Resende and Andrade, are among the ten most prolific authors. The search used one database and excluded preprints, theses and reports, which the authors note. The most influential paper is one of the co-author's. The report counts citations and does not test the algorithm.