Title :
Probability of improvement methods for constrained multi-objective optimization
Author :
Hawe, G.I. ; Sykulski, Jan K.
Author_Institution :
Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton
Abstract :
This paper shows how the simultaneous consideration of multiple Kriging models can lead to useful metrics for the selection of design vectors in constrained multi-objective optimization. The savings in computational cost with such methods make them particularly useful for optimal electromagnetic design.
Keywords :
computational electromagnetics; optimisation; probability; constrained multiobjective optimization; design vector selection; improvement method probability; multiple Kriging models; optimal electromagnetic design; Constrained Multi-Objective Optimization; Kriging;
Conference_Titel :
Computation in Electromagnetics, 2008. CEM 2008. 2008 IET 7th International Conference on
Conference_Location :
Brighton
Print_ISBN :
978-0-86341-891-4
