Multiobjective Product Optimization
Multiobjective Product Optimization is a systematic design methodology within evolutionary product development that seeks to simultaneously optimize multiple conflicting performance criteria by generating a set of nondominated optimal solutions, distinguishing it from single-objective approaches through its emphasis on trade-off analysis and Pareto optimality.
18
Publications
545
Citations
55
Authors
32
Institutions
Publications per year
2017–2026
6
Parents
18
1–5 of 18
55
1
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1–5 of 55
32

GlaxoSmithKline (United Kingdom)
London, United Kingdom
1 h-index
4 publications
156 citations

King Saud University
Riyadh, Saudi Arabia
1 h-index
1 publications
26 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
3 publications
141 citations
Dalian University of Technology
Dalian, China
1 h-index
5 publications
230 citations

Kharazmi University
Tehran, Iran
1 h-index
1 publications
41 citations
Northumbria University
Newcastle upon Tyne, United Kingdom
1 h-index
1 publications
17 citations
Université de Technologie de Troyes
Troyes, France
1 h-index
2 publications
60 citations

National Taipei University of Technology
Taipei, Taiwan
1 h-index
3 publications
126 citations
1–8 of 32
2 publications · 71 citations
2
h-index
2 publications · 79 citations
2
h-index
1 publications · 11 citations
1
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CERA · 1 publications · 23 citations
1
h-index
1 publications · 46 citations
1
h-index
1–5