A Machine-Independent Analysis of Parallel Genetic Algorithms
نویسندگان
چکیده
Abs t ract . This paper presents a machine-independent study of parallel genetic algorithm performance. Our approach utilizes a dataflow model of computat ion in conjunction with Sisal, an implicit parallel programming language. We compare problem-solving power and runt ime efficiency for several parallel genet ic algorithms under uniform conditions. The proposed method makes it possible to identify all sources of potential parallelism, and to locate and measure bot t lenecks. The dataflow model thus provides a systemat ic way to develop and evaluate genetic algorithms.
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ورودعنوان ژورنال:
- Complex Systems
دوره 8 شماره
صفحات -
تاریخ انتشار 1994