SMS-EMOA: Multiobjective selection based on dominated hypervolume

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Related collections

Most cited references 3

Record: found
Abstract: not found
Article: not found

Design and Analysis of Computer Experiments

Jerome Sacks, William J. Welch, Toby J. Mitchell … (1989)

0 comments Cited 655 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Comparison of multiobjective evolutionary algorithms: empirical results.

E Zitzler, K Deb, L. Thiele (2000)

In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function involves a particular feature that is known to cause difficulty in the evolutionary optimization process, mainly in converging to the Pareto-optimal front (e.g., multimodality and deception). By investigating these different problem features separately, it is possible to predict the kind of problems to which a certain technique is or is not well suited. However, in contrast to what was suspected beforehand, the experimental results indicate a hierarchy of the algorithms under consideration. Furthermore, the emerging effects are evidence that the suggested test functions provide sufficient complexity to compare multiobjective optimizers. Finally, elitism is shown to be an important factor for improving evolutionary multiobjective search.