SOLEUROPE  United Kingdom

Optimisation of System Resources in RAM Problems Using Genetic Algorithms

Aviv Gruber - Andy J. Keane
University of Southampton

the paper was selected by the program committee as one of the most representative and best communications that were given at the 16th symposium. Thanks to Mirce Akademy and to the authors for having authorized the publication on the site.

. General  Mail 
.
16 thMirce Symposium
.Mirce 16 Follow-up
.
...RAM... ...Using Genetic Algorithms
.Abstract
.Introduction
.Optimisation Definition and Difficulty
.Sufficiency
.the RAM System Model
.a Proposed Solution: the Hybrid Approach
.Obtaining the Density of the Resources Space by Random Samples
.Search Process Using Genetic Algorithms
.Summary & Conclusion
.#.
References
Prior Meetings and Documents
......

References


[1]

J.S. Bendat and A.G. Piersol. Measurement and Analysis of Random Data John Wiley & Sons, 1966

[2]

A Dubi. Monte Carlo Applications in Systems Engineering John Wiley & Sons, 2000

[3]

A. Dubi. System Engineering Science, Analytical Principles & Monte Carlo Methods MIRCE Science Limited, 2003

[4]

A.J. Keane and P.B. Nair. Computational Approaches for Aerospace Design, The Pursuit of ExcellenceJohn Wiley & Sons, 2005

[5]

D.E. Goldberg, Genetic Algorithms in Search, Optimisation, and Machine Learning, Addison-Wesley Publishing Company, Inc, 1989


 back to Abstract 



Download the document
 ACROBAT PDF (257 Ko) 



 General  Mail 

 Mirce 16  Prior Meetings and Documents 

 Mirce 16 Follow-up  ...RAM... ...Using Genetic Algorithms 

 Abstract  Introduction  Optimisation Definition and Difficulty  Sufficiency  RAM Model  Proposed Solution  Resources Density  Genetic  Summary  References 

last update:  December 12, 2006

.
.
.

Webhost: DRIM Technologies