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https://doi.org/10.1109/cec.20...
Article . 2004 . Peer-reviewed
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Conference object . 2023
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Conference object . 2003
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An evolutionary programming algorithm for multi-objective optimisation

Authors: Andrew Lewis; David Abramson 0001;

An evolutionary programming algorithm for multi-objective optimisation

Abstract

This paper describes a new evolutionary programming optimisation algorithm and a method of its application to multi-objective optimization problems. Computational results are presented demonstrating the algorithm's ability to find Pareto-optimal solutions for a real-world problem in radio frequency component design.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average