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User preference extraction using dynamic query sliders in conjunction with UPS-EMO algorithm
[article]
2011
arXiv
pre-print
One drawback of evolutionary multiobjective optimization algorithms (EMOA) has traditionally been high computational cost to create an approximation of the Pareto front: number of required objective function evaluations usually grows high. On the other hand, for the decision maker (DM) it may be difficult to select one of the many produced solutions as the final one, especially in the case of more than two objectives. To overcome the above mentioned drawbacks number of EMOA's incorporating the
arXiv:1110.5992v1
fatcat:m2g6ucsezzbn3meczqlrhaivby