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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yan Liu Chao Liu |
| Copyright Year | 2009 |
| Abstract | A Schema-Guiding Evolutionary Algorithm (SGEA) is proposed in this paper. The novel SGEA has many good features. It proposes the schema-modified operator to adjust the distribution of the population. What's more, it constructs an elite-schema space and proposes the cluster-center schema to guide the direction of individual's evolution. And by such two strategies, the diversity of the population and the local and global search power can be greatly improved. The experimental results show that the SGEA proposed in this paper has many better performances, compared with other methods such as simple genetic algorithm, greedy algorithm and so forth. |
| Starting Page | 160 |
| Ending Page | 164 |
| File Size | 227318 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769536538 |
| DOI | 10.1109/IACSIT-SC.2009.31 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-04-17 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Greedy algorithms Chaos schema 0-1 knapsack Evolutionary computation Information technology evolutionary algorithm Genetic algorithms Computer science Information science Space technology Resource management Springs |
| Content Type | Text |
| Resource Type | Article |
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