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LION
2010
Springer

Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer

8 years 8 months ago
Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer
The interactive decision making (IDM) methods exploit the preference information from the decision maker during the optimization task to guide the search towards favourite solutions. This work measures the impact of inaccurate and contradictory preference information on the quality of the solutions generated by the IDM methods. The investigation is done in the context of the BC-EMO algorithm, a recently proposed multi-objective genetic algorithm.
Paolo Campigotto, Andrea Passerini
Added 30 Aug 2010
Updated 30 Aug 2010
Type Conference
Year 2010
Where LION
Authors Paolo Campigotto, Andrea Passerini
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