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Decomposition of Multi-Objective Evolutionary Algorithm based on Estimation of Distribution |
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PP: 249-254 |
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Author(s) |
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Jian-Qiu Zhang,
Feng Xu,
Xian-Wen Fang,
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Abstract |
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| Decomposition of multi-objective evolutionary algorithm has better distribution, but the number of groups will increase
dramatically as the target number increases, seriously affecting the efficiency of the algorithm. This paper presents a decomposition of
multi-objective evolutionary algorithm based on estimation of distribution, the basic idea of which is: to decompose multiple objectives
into several single objective first and then to establish the probability model for every single objective based on the idea of estimation
of distribution, generating the solution by sampling. Numerical analysis and experiments show that the solution of the new algorithm
not only has better diversity and uniformity, but also the computational complexity of the algorithm is significantly lower than the
decomposition of multi-objective evolutionary algorithm, especially for optimization of three goals. |
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