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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu Fan Ronghong In Bo Liu |
| Copyright Year | 2002 |
| Description | Author affiliation: Dept. of Electron. Eng., Shanghai Jiaotong Univ., China (Yu Fan; Ronghong In; Bo Liu) |
| Abstract | A complex number coded genetic algorithm (GA) is proposed; it can be used in the synthesis of antenna array patterns. Unlike a conventional GA using binary coding and binary crossover, this method directly represents the array excitation weighting vectors as complex number chromosomes and uses linear crossover. For fast convergence, this algorithm uses the three chromosome linear crossover method. Compared with conventional GAs, this algorithm has a few advantages: giving a clearer and simpler representation of the problem; simplifying chromosome construction; totally avoiding binary encoding and decoding. Computer simulations show that it can be used as a general tool for the synthesis of antenna array patterns. |
| Sponsorship | Univ. of California, Lawrence Livermore Nat. Lab. Northrop Grumman NSF ITT Industries ANSOFT |
| Starting Page | 2667 |
| Ending Page | 2670 |
| File Size | 111569 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780383028 |
| DOI | 10.1109/APS.2004.1331923 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-06-20 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Antenna arrays Genetic algorithms Biological cells Decoding Convergence Encoding Computational modeling Computer simulation Chebyshev approximation Geometry |
| Content Type | Text |
| Resource Type | Article |
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