M
Marco Laumanns
Researcher at IBM
Publications - 113
Citations - 20058
Marco Laumanns is an academic researcher from IBM. The author has contributed to research in topics: Evolutionary algorithm & Multi-objective optimization. The author has an hindex of 36, co-authored 112 publications receiving 18321 citations. Previous affiliations of Marco Laumanns include Technical University of Dortmund & École Polytechnique Fédérale de Lausanne.
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SPEA2: Improving the strength pareto evolutionary algorithm
TL;DR: An improved version of SPEA, namely SPEA2, is proposed, which incorporates in contrast to its predecessor a fine-grained fitness assignment strategy, a density estimation technique, and an enhanced archive truncation method.
Journal ArticleDOI
Performance assessment of multiobjective optimizers: an analysis and review
TL;DR: This study provides a rigorous analysis of the limitations underlying this type of quality assessment in multiobjective evolutionary algorithms and develops a mathematical framework which allows one to classify and discuss existing techniques.
Book ChapterDOI
Scalable Test Problems for Evolutionary Multiobjective Optimization
TL;DR: In this paper, the authors have suggested three different approaches for systematically designing test problems for multi-objective evolutionary algorithms (MOEAs) with more than two objectives, which can be found useful in various research activities on MOEAs, such as testing the performance of a new MOEA, comparing dierent MOEA, and better understanding of the working principles of MOEA.
Proceedings ArticleDOI
Scalable multi-objective optimization test problems
TL;DR: Three different approaches for systematically designing test problems for systematic designing multi-objective evolutionary algorithms (MOEAs) showing efficacy in handling problems having more than two objectives are suggested.