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International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)

By
Chen Ming
Chen Ming
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ISBN:
9780791859902
No. of Pages:
1400
Publisher:
ASME Press
Publication date:
2011

As the adaptive algorithm based on the mechanism of biological evolution, genetic algorithm is applicable to optimization of all kinds of complex systems. However, due to the fact that standard genetic algorithm is precocious and apt to fall into local optimum, etc, which has limited the promotion and application of genetic algorithm to a certain extent. In this paper, based on the improvement of genetic operators, we proposed the improved genetic algorithm based on the small group parallel, thereby effectively improving its efficiency and performance.

Abstract
Keywords:
Introduction
The Improvement of Genetic Operators
Algorithm Based on Small Population Parallel
Algorithm Test
Conclusions
References
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