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The allocation of documents in multiprocessor information retrieval systems: an application of genetic algorithms

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2 Author(s)
Siegelmann, H.T. ; Dept. of Comput. Sci., Rutgers Univ., New Brunswick, NJ, USA ; Frieder, O.

The determination of an optimal document allocation within a distributed memory, distributed input/output (I/O) multicomputer, the multiprocessor document allocation problem (MDAP), is an NP-complete problem. Obtaining an optimal document allocation, therefore, is computationally intractable, and, hence, heuristic approaches are required. A genetic-algorithm-based approach to MDAP is described. A proof convergence for the algorithm is provided. Some experimental results from a simulation study of the approach are given. The results illustrate the potential of the genetic-algorithm-based approach as a means of tackling MDAP

Published in:

Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on

Date of Conference:

13-16 Oct 1991