Genetic Algorithms, Tournament Selection, and the Effects of Noise.
Impact in
Classified as
- Authors
- Brad L. MillerDavid E. Goldberg
- Journal
- Complex Systems
In The Last Decade
doi.org/w3375093 →Countries where authors are citing Genetic Algorithms, Tournament Selection, and the Effects of Noise.
This map shows the geographic impact of Genetic Algorithms, Tournament Selection, and the Effects of Noise.. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Genetic Algorithms, Tournament Selection, and the Effects of Noise. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genetic Algorithms, Tournament Selection, and the Effects of Noise. more than expected).
Fields of papers citing Genetic Algorithms, Tournament Selection, and the Effects of Noise.
This network shows the impact of Genetic Algorithms, Tournament Selection, and the Effects of Noise.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Genetic Algorithms, Tournament Selection, and the Effects of Noise..
About Genetic Algorithms, Tournament Selection, and the Effects of Noise.
This paper, published in 1995, received 665 indexed citations . Written by Brad L. Miller and David E. Goldberg covering the research area of Artificial Intelligence and Computational Theory and Mathematics. It is primarily cited by scholars working on Artificial Intelligence (281 citations), Computational Theory and Mathematics (107 citations), Electrical and Electronic Engineering (97 citations), Industrial and Manufacturing Engineering (69 citations) and Computer Networks and Communications (69 citations). Published in Complex Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/w3375093.