TY - GEN
T1 - Concept-based evolutionary exploration of design spaces by a resolution-relaxation-pareto approach
AU - Moshaiov, Amiram
AU - Snir, Alon
AU - Samina, Barak
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/10
Y1 - 2015/9/10
N2 - The set-based concept approach is suggested as a means to simultaneously explore different design spaces at both the conceptual and the particular design levels. The proposed technique employs dynamic relaxation of concept-based Paretooptimality. Two types of exploration problems are defined. The first type aims to reveal the approximated concepts' fronts, within a relaxation zone, whereas the second type is about which of the concepts' front intersect with that zone. A unique benchmarking approach and measures are employed to test the suggested algorithm with respect to the aforementioned types of problems. The numerical study shows that the algorithm can cope with various numerical difficulties in a simultaneous way. The use of exploration tools, such as proposed here, is expected to enhance the understanding of conceptual design spaces by both experienced and novice designers.
AB - The set-based concept approach is suggested as a means to simultaneously explore different design spaces at both the conceptual and the particular design levels. The proposed technique employs dynamic relaxation of concept-based Paretooptimality. Two types of exploration problems are defined. The first type aims to reveal the approximated concepts' fronts, within a relaxation zone, whereas the second type is about which of the concepts' front intersect with that zone. A unique benchmarking approach and measures are employed to test the suggested algorithm with respect to the aforementioned types of problems. The numerical study shows that the algorithm can cope with various numerical difficulties in a simultaneous way. The use of exploration tools, such as proposed here, is expected to enhance the understanding of conceptual design spaces by both experienced and novice designers.
KW - Benchmark
KW - computer-supported design
KW - conceptual design
KW - design space exploration
KW - evolutionary multi-objective optimization
KW - set-based concept
UR - http://www.scopus.com/inward/record.url?scp=84963622904&partnerID=8YFLogxK
U2 - 10.1109/CEC.2015.7257111
DO - 10.1109/CEC.2015.7257111
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AN - SCOPUS:84963622904
T3 - 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
SP - 1845
EP - 1852
BT - 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Congress on Evolutionary Computation, CEC 2015
Y2 - 25 May 2015 through 28 May 2015
ER -