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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5
Parallel Evolutionary Algorithms with SOM-Like Migration and its Application to VLSI-Design
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
ASCII Text
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Th. Villmann, R. Haupt, K. Hering, "Parallel Evolutionary Algorithms with SOM-Like Migration and its Application to VLSI-Design," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 5, pp. 5167, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.861452,
author = {Th. Villmann and R. Haupt and K. Hering},
title = {Parallel Evolutionary Algorithms with SOM-Like Migration and its Application to VLSI-Design},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {5},
year = {2000},
issn = {1098-7576},
pages = {5167},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861452},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - Parallel Evolutionary Algorithms with SOM-Like Migration and its Application to VLSI-Design
SN - 1098-7576
SP
EP
A1 - Th. Villmann,
A1 - R. Haupt,
A1 - K. Hering,
PY - 2000
VL - 5
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
Th. Villmann, Universit?t Leipzig
R. Haupt, Universit?t Leipzig
K. Hering, Universit?t Leipzig
We introduce a multiple subpopulation approach for parallel evolutionary algorithms the migration scheme of which follows a SOM-like dynamics. We successfully apply this approach to clustering in VLSI-design. The advantages of the approach are shown which consist in a reduced communication overhead between the subpopulations preserving a non-vanishing information flow.
Citation:
Th. Villmann, R. Haupt, K. Hering, "Parallel Evolutionary Algorithms with SOM-Like Migration and its Application to VLSI-Design," ijcnn, vol. 5, pp.5167, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000
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