Multiobjective Convex Optimization
Multiobjective Convex Optimization is a formal framework in multi-criteria decision-making where multiple convex objective functions are simultaneously minimized over a convex feasible set, distinguishing itself by the joint convexity of objectives and constraints that ensures desirable properties for Pareto optimality and algorithmic tractability.
230
Publications
8.4K
Citations
380
Authors
251
Institutions
Publications per year
2017–2026
46
230
Survey of convex optimization for aerospace applications
Xinfu Liu, Ping Lu, Binfeng Pan · Astrodynamics · 2017 · 334 citations
Derrick Wing Kwan Ng, Ernest S. Lo, Robert Schober · IEEE Transactions on Vehicular Technology · 2015 · 267 citations
1–5 of 230
380
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6
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5
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251
Indian Institute of Technology Patna
Patna, India
10 h-index
17 publications
371 citations

University of Delhi
New Delhi, India
7 h-index
14 publications
687 citations

UNSW Sydney
Sydney, Australia
6 h-index
10 publications
398 citations

Universidad Nacional de Educación a Distancia
Madrid, Spain
6 h-index
10 publications
277 citations

Aligarh Muslim University
Aligarh, India
6 h-index
11 publications
342 citations

Universidad de Sevilla
Seville, Spain
6 h-index
14 publications
658 citations

Universitatea Națională de Știință și Tehnologie Politehnica București
Bucharest, Romania
6 h-index
6 publications
137 citations
Institute of Mathematics
Hanoi, Vietnam
5 h-index
5 publications
106 citations
1–8 of 251
34 publications · 1.8K citations
20
h-index
20 publications · 880 citations
17
h-index
16 publications · 475 citations
15
h-index
16 publications · 366 citations
14
h-index
8 publications · 197 citations
8
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1–5