Quality Diversity
Quality Diversity is a computational optimization paradigm that, as opposed to traditional single-objective approaches, emphasizes the discovery of a diverse collection of high-performing solutions across a behaviorally distinct feature space.
49
Publications
2.3K
Citations
93
Authors
43
Institutions
Publications per year
2017–2026
40
Variants
Quality-diversity
Parents
49
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such et al. · Neural Information Processing Systems · 2018 · 148 citations
Confronting the Challenge of Quality Diversity
Justin K. Pugh, L. B. Soros, Paul Szerlip et al. · 2015 · 125 citations · Full text
Procedural Content Generation through Quality Diversity
Daniele Gravina, Ahmed Khalifa, Antonios Liapis et al. · 2019 IEEE Conference on Games (CoG) · 2019 · 121 citations · Full text
1–5 of 49
93
10
h-index
10
h-index
6
h-index
5
h-index
3
h-index
1–5 of 93
43
University of Southern California
Los Angeles, United States
9 h-index
30 publications
695 citations
New York University
New York, United States
8 h-index
13 publications
702 citations
California Southern University
Chandler, United States
6 h-index
18 publications
505 citations

Imperial College London
London, United Kingdom
5 h-index
8 publications
429 citations
Hochschule Bonn-Rhein-Sieg
Sankt Augustin, Germany
3 h-index
6 publications
150 citations
New Jersey Institute of Technology
Newark, United States
3 h-index
3 publications
82 citations
Université de Lorraine
Nancy, France
3 h-index
5 publications
207 citations

University of Central Florida
Orlando, United States
3 h-index
8 publications
2.1K citations
1–8 of 43
Conference · 14 publications · 360 citations
12
h-index
Repository · 4 publications · 170 citations
4
h-index
3 publications · 70 citations
3
h-index
Conference · 2 publications · 153 citations
2
h-index
Conference · 2 publications · 183 citations
2
h-index
1–5