Dynamic multiobjective optimization of war resource allocation using adaptive genetic algorithms

Genetic algorithms (GA) are often well suited for multiobjective optimization problems. The major objective of this research is to optimize the war resource allocations of sorties, for a given war scenario, using genetic algorithms. The war is simulated using THUNDER software. THUNDER software is a...

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Bibliographic Details

Published in:	2001 IEEE Southeastcon pp. 160 - 165
Main Authors:	Palaniappan, S., Zein-Sabatto, S., Sekmen, A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 2001
Subjects:	Analytical models Convergence Fuzzy logic Genetic algorithms Genetic mutations Intelligent systems Military computing Resource management Stochastic resonance Testing
ISBN:	0780367480, 9780780367487
Online Access:	Get full text
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