New Findings on Indicator-based Multi-Objective Evolutionary Algorithms: A Brief Summary
Quality indicators (QIs) are functions that assign a real value to a set that represents the Pareto front approximation of a multi-objective optimization problem. In the evolutionary multi-objective optimization community, QIs have been mainly employed in two ways: (1) for the performance assessmen...
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| Format: | Article |
| Language: | English |
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Centro Latinoamericano de Estudios en Informática
2022-04-01
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| Series: | CLEI Electronic Journal |
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| Online Access: | https://clei.org/cleiej/index.php/cleiej/article/view/522 |