Localized Island Model Genetic Algorithm in Population Diversity Preservation
- Alfian Akbar Gozali, Shigeru Fujimura
- Corresponding Author
- Alfian Akbar Gozali
Available Online March 2019.
- https://doi.org/10.2991/icoiese-18.2019.22How to use a DOI?
- migration policy; island model; genetic algorithm; localization strategy
- Premature convergence in island model is a consequence of the selection in migration mechanism. It is a process of migrating several individuals (usually the best one) from a source into destination island to keep its diversity. The main reason is the similar characteristic of relocated individual because of the genetic operator configurations are similar. Localized Island Model GA (LIMGA) tries to implement different island characteristics (localization strategy) to preserve the islands’ diversity. By harmonizing standard GA, pseudo GA, and informed GA; LIMGA could overcome general optimization problem with a great result and acceptable execution time. Moreover, because of its success in maintaining the diversity, LIMGA could lead the current best-known-so-far solver for this case.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Alfian Akbar Gozali AU - Shigeru Fujimura PY - 2019/03 DA - 2019/03 TI - Localized Island Model Genetic Algorithm in Population Diversity Preservation BT - 2018 International Conference on Industrial Enterprise and System Engineering (ICoIESE 2018) PB - Atlantis Press SN - 2589-4943 UR - https://doi.org/10.2991/icoiese-18.2019.22 DO - https://doi.org/10.2991/icoiese-18.2019.22 ID - Gozali2019/03 ER -