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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zne-Jung Lee Chou-Yuan Lee Huei-Lung Yu Kuan-Hung Liu Shun-Feng Su |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Inf. Manage., Huafan Univ., Taipei (Zne-Jung Lee) |
| Abstract | This paper provides an intelligent system, a fuzzy-genetic algorithm (FGA) with local search, for multiple sequences alignment. The general multiple sequence alignment, known as NP-hard problem, refers to search for maximal similarity in three or more sequences. The proposed algorithm is to enhance the performance of genetic algorithm by incorporating local search and fuzzy set theory for multiple sequence alignment. In the proposed algorithm, genetic algorithms perform a multiple directional search by maintaining a set of solutions. Local search operators are performed to explore the neighborhood in an attempt to enhance the fitness of the solution in a local manner. Moreover, fuzzy set theory is designed to dynamically adjust the probability of crossover, mutation and local search during evolutionary process. Results from our experiments indicate that our approach can obtain good performance in the majority of data sets with both low similarity and high diversity |
| Starting Page | 1042 |
| Ending Page | 1047 |
| File Size | 2015384 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780392981 |
| DOI | 10.1109/ICSMC.2005.1571283 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-10-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent systems Sequences Genetic algorithms Fuzzy set theory Information management Dynamic programming Electronic mail Educational institutions Educational technology NP-hard problem Fuzzy Logic Intelligent System Sequence Alignment Genetic Algorithm Local Search |
| Content Type | Text |
| Resource Type | Article |
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