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ASME Press Select Proceedings

International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012)

Editor
Xie Yi
Xie Yi
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ISBN:
9780791860045
No. of Pages:
938
Publisher:
ASME Press
Publication date:
2012

Genetic algorithm is an approach simulating biological genetic inheritance. In genetic algorithm, the initial population is formed by encoding, then, added by selection operation, crossover operation and mutation operation according to individual fitness assessment so as to simulate the process of evolution of biological survival of the fittest. In terms of optimizing search, genetic manipulation can optimize the solution generation after generation and make it close to the optimal solution.

1. Introduction
2. Elements of Genetic Algorithm
3. Realization Process of Genetic Algorithm
4. Optimization of Genetic Algorithm
5. Application of Genetic Algorithm on Function Extreme
6. Summary
References
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