The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
How to do multi-objective optimization?
Marco_Stolpe
Member Posts: 6 
Contributor II
Hi there,
the information for the operator "ClassificationPerformance" says "that for true multi-objective optimization usually another selection scheme is used instead of simply replacing the performance comparator".
Does it suffice for *true* multi-objective optimization to choose "non dominated sorting" as the selection scheme in evolutionary operators like EvolutionaryParameterOptimization? For example, could I implement my own performance criteria, put them in a performance vector and optimize for both criteria at the same time by just using the standard evolutionary paramter optimization with the aforementioned selection scheme?
Greetings and thanks for any help in advance
Marco
the information for the operator "ClassificationPerformance" says "that for true multi-objective optimization usually another selection scheme is used instead of simply replacing the performance comparator".
Does it suffice for *true* multi-objective optimization to choose "non dominated sorting" as the selection scheme in evolutionary operators like EvolutionaryParameterOptimization? For example, could I implement my own performance criteria, put them in a performance vector and optimize for both criteria at the same time by just using the standard evolutionary paramter optimization with the aforementioned selection scheme?
Greetings and thanks for any help in advance
Marco
0
