Multi-objective Evolutionary Architecture
Multi-Objective Evolutionary Architecture is an evolutionary architecture approach that integrates multiple competing objectives—such as performance, reliability, and cost—into the continuous adaptation and optimization of software systems, distinguishing itself by employing search-based techniques to evolve architectural configurations that achieve balanced trade-offs across these objectives.
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1.4K
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106
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46
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2017–2026
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Zhichao Lu, Ian Whalen, Vishnu Naresh Boddeti et al. · Proceedings of the Genetic and Evolutionary Computation Conference · 2019 · 478 citations · Full text
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National University of Singapore
Singapore, Singapore
2 h-index
8 publications
163 citations

University of Baghdad
Baghdad, Iraq
2 h-index
4 publications
84 citations
TU Dortmund University
Dortmund, Germany
1 h-index
5 publications
155 citations
University of Staffordshire
Stoke-on-Trent, United Kingdom
1 h-index
2 publications
26 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
68 citations
Universidade de São Paulo
São Paulo, Brazil
1 h-index
3 publications
105 citations

Florida Institute of Technology
Melbourne, United States
1 h-index
1 publications
38 citations
Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance
Brest, France
1 h-index
1 publications
35 citations
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4 publications · 125 citations
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2 publications · 58 citations
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1 publications · 22 citations
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1 publications · 38 citations
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1 publications · 50 citations
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