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- W2161385497 abstract "This paper proposes an approach to the solution of multi-objective optimisation problems that delivers a single, preferred solution. A conventional, population-based, multi-objective optimisation method is used to provide a set of solutions approximating the Pareto front. As the set of solutions evolves, an approximation to the Pareto front is derived using a Kriging method. This approximate surface is traversed using a single objective optimisation method, driven by a simple, aggregated objective function that expresses design preferences. The approach is demonstrated using a combination of multi-objective particle swarm optimisation (MOPSO) and the Simplex method of Nelder and Mead, applied to several, standard, multi-objective test problems. Good, compromise solutions meeting user-defined design preferences are delivered without manual intervention." @default.
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- W2161385497 date "2008-06-01" @default.
- W2161385497 modified "2023-09-27" @default.
- W2161385497 title "Automated solution selection in multi-objective optimisation" @default.
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- W2161385497 doi "https://doi.org/10.1109/cec.2008.4631086" @default.
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