TY - GEN
T1 - Signaling and visualization for interactive evolutionary search and selection of conceptual solutions
AU - Moshaiov, Amiram
AU - Rizakov, Yevgeny
PY - 2013
Y1 - 2013
N2 - This paper deals with the problem of selecting and ordering a pre-defined number of conceptual solutions (concepts) out of a given finite set of candidate concepts. The process involves human intervention which allows the inclusion of un-modeled considerations, as well as the saving of computational resources. To support human intervention special visualization elements are developed. The proposed interactive method is demonstrated on a path planning problem using the method of Evolution Strategies.
AB - This paper deals with the problem of selecting and ordering a pre-defined number of conceptual solutions (concepts) out of a given finite set of candidate concepts. The process involves human intervention which allows the inclusion of un-modeled considerations, as well as the saving of computational resources. To support human intervention special visualization elements are developed. The proposed interactive method is demonstrated on a path planning problem using the method of Evolution Strategies.
KW - Interactive evolutionary computation
KW - Set-based concept
UR - http://www.scopus.com/inward/record.url?scp=84882414879&partnerID=8YFLogxK
U2 - 10.1145/2464576.2482715
DO - 10.1145/2464576.2482715
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AN - SCOPUS:84882414879
SN - 9781450319645
T3 - GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion
SP - 1359
EP - 1366
BT - GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion
T2 - 15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013
Y2 - 6 July 2013 through 10 July 2013
ER -