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A C3I parallel benchmark based on genetic algorithms -: Implementation and performance analysis
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DOI：10.1006/jpdc.1997.1393.png)
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As part of the ongoing effort in creating a parallel benchmark suite for (CI)-I-3 (command, control, communication, and intelligence) applications, we implemented an important (CI)-I-3 application, the decision support systems (DSS), using a genetic algorithmic approach, In this paper, we present the structure and characteristics of the DSS application and its suitability for solving under an evolutionary computing framework, We discuss many parallel formulations of the DSS and an efficient and scalable implementation on various parallel platforms, In addition to the timing analysis, we also study the scalability of various architectures for this (CI)-I-3 application, It should be noted that certain choices made in the formulation and implementation of this problem are dictated by the requirements of the benchmark. (C) 1997 Academic Press.
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