共 31 条
- [31] Zurada J.M., 1992, Introduction to Artificial Neural Systems
An improved genetic algorithm with average-bound crossover and wavelet mutation operations
被引：90
作者：
Ling, S. H.
[1
]
Leung, F. H. F.
[1
]
机构：
[1] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Ctr Multimedia Signal Proc, Kowloon, Hong Kong, Peoples R China
关键词：
crossover;
mutation;
real-coded genetic algorithm;
associative-memory neural network;
economic load dispatch;
D O I：
10.1007/s00500-006-0049-7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ;
0812 ;
0835 ;
1405 ;
摘要：
This paper presents a real-coded genetic algorithm (RCGA) with new genetic operations (crossover and mutation). They are called the average-bound crossover and wavelet mutation. By introducing the proposed genetic operations, both the solution quality and stability are better than the RCGA with conventional genetic operations. A suite of benchmark test functions are used to evaluate the performance of the proposed algorithm. Application examples on economic load dispatch and tuning an associative-memory neural network are used to show the performance of the proposed RCGA.
引用
收藏
页码：7 / 31
页数：25
相关论文