Many successful infill criteria are dependent on multi-dimensional integration, which may result in infill criteria that are themselves impractically expensive.
A promising cheaper alternative are mono-surrogate approaches, but the only example of such an approach in a Bayesian optimisation framework is ParEGO [20].
A computationally cheap infill criterion based on the minimum probability of improvement over the estimated Pareto set is proposed and a range of set-based ...
We propose a computationally cheap infill criterion based on the minimum probability of improvement over the estimated Pareto set. We also present a range of ...
Alternative infill strategies for expensive multi-objective optimisation ; dc.contributor.author, Rahat, A ; dc.contributor.author, Everson, R ; dc.contributor.
Performing multi-objective Bayesian optimisation by scalarising the objectives avoids computation of expensive multi-dimensional integral-based acquisition ...
Alma As-Aad Mohammad Rahat , Richard M. Everson , Jonathan E. Fieldsend : Alternative infill strategies for expensive multi-objective optimisation.
Jul 19, 2017 · We propose a computationally cheap infill criterion based on the minimum probability of improvement over the estimated Pareto set.
People also ask
How to solve multi-objective optimization problem?
What is MOEA D for multiple multi-objective optimization?
What is the difference between multi-objective optimization and many objective optimization?
In this study, we introduce a SAO approach capable of selectively evaluating the objective(s) of the infill solution(s).
This paper combines the push and pull search (PPS) framework and proposes a surrogate-assisted evolutionary algorithm to solve ECMOPs through Bayesian active ...
Missing: optimisation. | Show results with:optimisation.