TY - GEN
T1 - The paradox of multimodal optimization
T2 - 2016 IEEE Congress on Evolutionary Computation, CEC 2016
AU - Moshaiov, Amiram
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/14
Y1 - 2016/11/14
N2 - It is well-known that decision-makers are often interested in searching for multiple alternative solutions. A major goal of multimodal optimization is to find such alternatives by searching for multiple peaks in the landscape. However, as claimed and demonstrated here with respect to that goal, the notion of multi-modal optimization is problematic on a fundamental level. Moreover, as discussed here, the notion of multimodal optimization is, for the most of it, restricted to single objective optimization. Following the above argumentation, this paper provides some overview on the set-base concept approach and describes how this approach can be used to produce meaningful solution alternatives for the decision-makers both for single and multi-objective problem. It is concluded that, when decision-makers are interested in finding multiple solutions, the use of the set-based concept approach is a valid alternative to multimodal optimization.
AB - It is well-known that decision-makers are often interested in searching for multiple alternative solutions. A major goal of multimodal optimization is to find such alternatives by searching for multiple peaks in the landscape. However, as claimed and demonstrated here with respect to that goal, the notion of multi-modal optimization is problematic on a fundamental level. Moreover, as discussed here, the notion of multimodal optimization is, for the most of it, restricted to single objective optimization. Following the above argumentation, this paper provides some overview on the set-base concept approach and describes how this approach can be used to produce meaningful solution alternatives for the decision-makers both for single and multi-objective problem. It is concluded that, when decision-makers are interested in finding multiple solutions, the use of the set-based concept approach is a valid alternative to multimodal optimization.
UR - http://www.scopus.com/inward/record.url?scp=85008264041&partnerID=8YFLogxK
U2 - 10.1109/CEC.2016.7743999
DO - 10.1109/CEC.2016.7743999
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85008264041
T3 - 2016 IEEE Congress on Evolutionary Computation, CEC 2016
SP - 1743
EP - 1748
BT - 2016 IEEE Congress on Evolutionary Computation, CEC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 July 2016 through 29 July 2016
ER -