Abstract
This paper presents important new findings for a new method for evolving individual programs with multiple chromosomes. Previous results have shown that evolving individuals with multiple chromosomes produced improved results over evolving individuals with a single chromosome. The multiple chromosomes are organised along two axes; there are a number of different chromosomes and a number of copies of each chromosome. This paper investigates the effects which these two axes have on the performance of the algorithm; whether the improvement in performance comes from just one of these features or whether it is a combination of them both.
Original language | English |
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Title of host publication | 2005 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-3, PROCEEDINGS |
Place of Publication | NEW YORK |
Publisher | IEEE |
Pages | 935-941 |
Number of pages | 7 |
ISBN (Print) | 0-7803-9363-5 |
Publication status | Published - 2005 |
Event | IEEE Congress on Evolutionary Computation - Edinburgh Duration: 2 Sep 2005 → 5 Sep 2005 |
Conference
Conference | IEEE Congress on Evolutionary Computation |
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City | Edinburgh |
Period | 2/09/05 → 5/09/05 |