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摘要
En 中文
Evolutionary computation techniques have mostly been used to solve various optimization and learning problems. This paper describes a novel application of evolutionary computation techniques to equation solving, Several combinations of evolutionary computation techniques and classical numerical methods are proposed to solve linear and partial differential equations. The hybrid algorithms have been compared with the well-known classical numerical methods. The experimental results show that the proposed hybrid algorithms outperform the classical numerical methods significantly in terms of effectiveness and efficiency.
Keyword:
adaptation
hybrid algorithms
linear equations
partial differential equations
期刊
IF:
12
论文数:
1.8K
被引数:
2.4W
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暂无机构信息

