TY - GEN
T1 - The effect of user interaction mechanisms in multi-objective IGA
AU - Brintrup, Alexandra Melike
AU - Takagi, Hideyuki
PY - 2007/8/27
Y1 - 2007/8/27
N2 - In this paper four mechanisms, fine and coarse grained fitness rating, linguistic evaluation and active user intervention are compared for use in the multi-objective IGA. The interaction mechanisms are tested on the ergonomic chair design problem. The active user intervention mechanism provided the best fitness convergence but resulted in the least diverse results. The fine grained evaluation provided a good blend of fitness convergence and diversity while the popular coarse grained discrete rating provided poor results. Linguistic evaluation resulted in poor qualitative fitness despite its fast speed of evaluation. The significant differences between interaction mechanisms show the need for further research.
AB - In this paper four mechanisms, fine and coarse grained fitness rating, linguistic evaluation and active user intervention are compared for use in the multi-objective IGA. The interaction mechanisms are tested on the ergonomic chair design problem. The active user intervention mechanism provided the best fitness convergence but resulted in the least diverse results. The fine grained evaluation provided a good blend of fitness convergence and diversity while the popular coarse grained discrete rating provided poor results. Linguistic evaluation resulted in poor qualitative fitness despite its fast speed of evaluation. The significant differences between interaction mechanisms show the need for further research.
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U2 - 10.1145/1274000.1274099
DO - 10.1145/1274000.1274099
M3 - Conference contribution
AN - SCOPUS:34548097222
SN - 159593698X
SN - 9781595936981
T3 - Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference, Companion Material
SP - 2629
EP - 2632
BT - Proceedings of GECCO 2007
T2 - 9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007
Y2 - 7 July 2007 through 11 July 2007
ER -