Benchmarking Multi-objective Algorithms
Benchmarking Multi-Objective Algorithms is a systematic evaluation framework that differentiates itself by providing standardized problem instances, performance metrics, and comparative baselines to assess the effectiveness, efficiency, and robustness of algorithms in solving Multi-Objective Markov Decision Processes.
145
Publications
10.7K
Citations
425
Authors
233
Institutions
Publications per year
2017–2026
75
145
1–5 of 145
425
6
h-index
Nanyang Technological University, Singapore
6 publications · 704 citations
6
h-index
Institut national de recherche en sciences et technologies du numérique, France
6 publications · 158 citations
6
h-index
5
h-index
5
h-index
1–5 of 425
233
Jožef Stefan Institute
Ljubljana, Slovenia
6 h-index
9 publications
525 citations
Nanyang Technological University
Singapore, Singapore
5 h-index
10 publications
1.1K citations

Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Mexico City, Mexico
5 h-index
6 publications
248 citations
TU Dortmund University
Dortmund, Germany
5 h-index
9 publications
571 citations

Universidad de Málaga
Málaga, Spain
4 h-index
11 publications
430 citations
École Polytechnique
Palaiseau, France
4 h-index
12 publications
1.4K citations

Indian Institute of Technology Kanpur
Kanpur, India
4 h-index
4 publications
323 citations

University of Pretoria
Pretoria, South Africa
4 h-index
8 publications
125 citations
1–8 of 233
9 publications · 934 citations
9
h-index
Conference · 6 publications · 115 citations
6
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Repository · 5 publications · 351 citations
5
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5 publications · 175 citations
5
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4 publications · 242 citations
4
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1–5