Emergent algorithms
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Algorithms implementing complex systems, i.e. bottom up approaches where independent entities interact locally resulting in a global emergent behavior. These comprise:
- ant colony optimization
- particle swarm optimization
- evolutionary algorithms
- more generally population based algorithms
Objectives encompass:
- the ability to efficiently exploit multi-level massively parallel supercomputers (exascale and zetascale computing) on generic optimization problems
- solving and optimizing complex problems (continuous, mixed, discrete NP-complete problems)