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Title |
An Improved Genetic Algorithm Based Complex-valued Encoding |
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Author |
Yan Wang, Shangce Gao, Huiran Zhang, Zheng Tang |
| Citation |
Vol. 10 No. 6 pp. 168-174 |
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Abstract |
Genetic algorithm is a useful tool to tackle optimization problems. In this paper the complex numbers were introduced into the traditional genetic algorithm, in which binary or real value data representation was used in the past, and a complex-value encoding genetic algorithm was proposed. Comparing with the conventional genetic algorithm which based on real-valued encoding or binary encoding, the proposed algorithm expands the dimension for search region and avoided getting into the local minimum efficiently. The computer simulation results showed it is useful for the problem of function optimization. |
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Keywords |
complex number, complex-valued encoding, genetic algorithms, diploid, allele |
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