Transforming the search space with Gray coding
- 1 January 1994
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 513-518 vol.1
- https://doi.org/10.1109/icec.1994.349897
Abstract
Genetic algorithm test functions have typicallybeen designed with properties in numeric space that makeit difficult to locate the optimal solution using traditionaloptimization techniques. The use of Gray coding has beenfound to enhance the performance of genetic search in somecases. However, Gray coding produces a different functionmapping that may have fewer local optima and different relativehyperplane relationships. Therefore, inferences abouta function will not necessarily hold...Keywords
This publication has 1 reference indexed in Scilit:
- The parallel genetic algorithm as function optimizerParallel Computing, 1991