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MMGAs
Last update: 06/2011
Multi-Modal Genetic Algorithms (MMGAs) is a search technique used in computing to find solutions to optimization problems with only one optimization function but with several global and local optima.
MMGAs methods
Fitness sharing
Clearing
Crowding
Species competition
Fitness sharing (FS)
Clearing (CM)
Deterministic crowding (DC)
Species conserving genetic algorithm (SCGA)
Continuously updated sharing (CUS)
Restricted competition selection (RCS)
Multi-niche crowding (MNC)
Quick hierarchical fair competition (QHFC)
Adaptive niche hierarchical genetic algorithm (ANHGA)
Restricted competition selection with pattern search (RCS_PSM)
Niche identification techniques (NIT)
Universidad de Valladolid
