Multi-Objective Portfolio Selection is a portfolio optimization framework that extends traditional single-objective models by simultaneously considering multiple, often conflicting objectives—such as return maximization, risk minimization, liquidity, and environmental, social, and governance (ESG) criteria—within a unified decision-making process to identify efficient trade-offs among competing investor goals.
283
Publications
18.5K
Citations
667
Authors
340
Institutions
Publications per year
2017–2026
130
Parents
Publications
283
1–5 of 283
Authors
667
- MK
10
h-index
- PG
7
h-index
- WC
6
h-index
- JG
5
h-index
- JO
5
h-index
1–5 of 667
Institutions
340
University of Delhi
New Delhi, India
10 h-index
25 publications
1.1K citations
Universitat Politècnica de València
Valencia, Spain
9 h-index
21 publications
1.2K citations
Capital University of Economics and Business
Beijing, China
8 h-index
17 publications
539 citations
National Technical University of Athens
Athens, Greece
7 h-index
13 publications
514 citations
Universidad de Málaga
Málaga, Spain
5 h-index
10 publications
839 citations
Vilnius Gediminas Technical University
Vilnius, Lithuania
5 h-index
6 publications
320 citations
Sichuan University
Chengdu, China
5 h-index
9 publications
274 citations
Universidad Pontificia Bolivariana
Medellín, Colombia
4 h-index
5 publications
196 citations
1–8 of 340
Venues
- Expert Systems with Applications
23 publications · 1.8K citations
21
h-index
- Annals of Operations Research
12 publications · 1K citations
13
h-index
- European Journal of Operational Research
11 publications · 1.5K citations
11
h-index
- Swarm and Evolutionary Computation
8 publications · 415 citations
8
h-index
- Information Sciences
7 publications · 488 citations
7
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1–5