Interactive Concept-based Search using MOEA: The Hierarchical Preferences Case
نویسندگان
چکیده
Our recently introduced technique for multi-objective search of conceptual solutions, based on interactive evolutionary computation, is extended. The extension deals with concepts, which are represented by hierarchical trees of sub-concepts. The survivability of solutions is influenced by both model-based fitness and subjective human preferences. The concepts’ preferences are articulated via the hierarchy of sub-concepts. The suggested method produces an objective-subjective front. An academic example is employed to demonstrate the proposed approach. Keywords—Conceptual solution, multi-objective search, sPareto, objective-subjective front, conceptual design, hierarchical human-preferences, hierarchical planning.
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