An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimization | IEEE Conference Publication | IEEE Xplore

An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimization


Abstract:

In this paper, we propose a decomposition based multiobjective evolutionary algorithm that extracts information from an external archive to guide the evolutionary search ...Show More

Abstract:

In this paper, we propose a decomposition based multiobjective evolutionary algorithm that extracts information from an external archive to guide the evolutionary search for continuous optimization problem. The proposed algorithm used a mechanism to identify the promising regions(subproblems) through learning information from the external archive to guide evolutionary search process. In order to demonstrate the performance of the algorithm, we conduct experiments to compare it with other decomposition based approaches. The results validate that our proposed algorithm is very competitive.
Date of Conference: 06-11 July 2014
Date Added to IEEE Xplore: 22 September 2014
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Conference Location: Beijing, China

References

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