Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
495547 | Applied Soft Computing | 2014 | 13 Pages |
Abstract
In the previous work, a detector generation algorithm, named as the EvoSeedRNSA, is proposed. A genetic algorithm is adopted in the EvoSeedRNSA to evolve the random seeds to generate an approximately optimal detector set. This paper proposes an improved EvoSeedRNSA, named as the EvoSeedRNSAII, to generate a more efficient detector set. A multi-group random seed encoding scheme is designed to represent the individuals and different detector generation sequences are discussed. The experiments demonstrate that the EvoSeedRNSAII has a better performance than the EvoSeedRNSA.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Jie Zhang, Wenjian Luo,