Convergence properties of some multi-objective evolutionary algorithms

Convergence properties of some multi-objective evolutionary algorithms

We present four abstract evolutionary algorithms for multi-objective optimization and theoretical results that characterize their convergence behavior. Thanks to these results it is easy to verify whether or not a particular instantiation of these abstract evolutionary algorithms offers the desired...

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Bibliographic Details
Published in:Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512) Vol. 2; pp. 1010 - 1016 vol.2
Main Authors: Rudolph, G., Agapie, A.
Format: Conference Proceeding
Language:English
Published: IEEE 2000
Subjects:
Computational intelligence
Computer science
Convergence
Evolutionary computation
Markov processes
Random sequences
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Summary:We present four abstract evolutionary algorithms for multi-objective optimization and theoretical results that characterize their convergence behavior. Thanks to these results it is easy to verify whether or not a particular instantiation of these abstract evolutionary algorithms offers the desired limit behavior. Several examples are given.
ISBN:9780780363755
0780363752
DOI:10.1109/CEC.2000.870756