Evolutionary Design by Computers with CDrom
Evolutionary Design by Computers with CDrom
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
MOEA-Based approach to delayed decisions for robust conceptual design
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Interactive evolutionary multiobjective search and optimization of set-based concepts
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Evolutionary search of optimal concepts using a relaxed-Pareto-optimality approach
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Tailoring ε-MOEA to concept-based problems
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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Recent studies on the support of engineers during conceptual design resulted in a non-traditional type of Multi-Objective Problems (MOPs), namely concept-based ones. In concept-based MOPs the focus is on conceptual solutions that are represented by sets of particular solutions. This means that a concept has a one-to-many relation with the objective space. Such a set-based concept representation is most suitable for human-computer interaction. In concept-based MOPs concept-related preferences could be easily incorporated with or without range-related preferences. This paper provides an overview of studies on concept-based problems, which have been conducted at Tel-Aviv University, and suggests some future research directions.