A Cooperative Coevolutionary Approach to Function Optimization

A Cooperative Coevolutionary Approach to Function Optimization
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DOI：
10.1007/3-540-58484-6_269
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发表时间：
1994-10
期刊：
--
影响因子：
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通讯作者：
M. A. Potter;K. D. Jong
M. A. Potter;K. D. Jong
中科院分区：
其他
文献类型：
--
作者：
M. A. Potter;K. D. Jong

文献摘要

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提出了一个合作种群协同进化的一般模型。该模型的实例化和测试的功能优化领域，并与传统的基于遗传算法的功能优化器。结果在两个方面令人鼓舞。他们提出了改进GA和其他基于EA的优化器性能的方法，并提出了一种新的方法来发展复杂的结构，如神经网络和规则集。
A general model for the coevolution of cooperating species is presented. This model is instantiated and tested in the domain of function optimization, and compared with a traditional GA-based function optimizer. The results are encouraging in two respects. They suggest ways in which the performance of GA and other EA-based optimizers can be improved, and they suggest a new approach to evolving complex structures such as neural networks and rule sets.