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Combining convergence and diversity in evolutionary multiobjective optimization.

Evolutionary computation - 1 Jan 2002

Laumanns Marco, Thiele Lothar, Deb Kalyanmoy, Zitzler Eckart

Abstract excerpt

Over the past few years, the research on evolutionary algorithms has demonstrated their niche in solving multiobjective optimization problems, where the goal is to find a number of Pareto-optimal solutions in a single simulation run. Many studies have depicted different ways evolutionary algorithms can progress towards the Pareto-optimal set with a widely spread distribution of solutions. However, none of the...

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PMID: 12227996
DOI: 10.1162/106365602760234108

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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