Hierarchical
Asynchronous Parallel Evolutionary
Algorithms (HAPEAs).
The
group has developed a Hierarchical Parallel Asynchronous Evolution
Algorithm (HAPEA) that has proven to be robust for Single and
Multi-objective problems.
-
We
use a technique that finds optimum solutions by using many different
models, that greatly accelerates the optimisation process.
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Interaction
of the 3 layers: solutions go up and down the layers.
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Time
consuming solvers only for the most promising solutions.
Multiobjective
Optimisation
This algorithm has
been tested and proven to be robust for multi-modal, multi objective
problems, deceptive multi-objective problems, multiobjective problems
having convex, non convex fronts, continuos or discontinuous optimal
fronts and non-uniformly represented Pareto optimal fronts
