G Hao, N Guo, GG Wang, ZJ Zhang… - 2nd International …, 2017 - researchgate.net
On the one hand, for the limitation that a user in Interactive Evolutionary Computation (IEC) is apt to feel tired during the solutions evaluation, the result of IEC is not so desirable. On the …
L Wang, M Sung, C Hong - Workshops on Applications of Evolutionary …, 2006 - Springer
Traditionally, product design problem is usually solved by means of the conjoint analysis methods. However, the conjoint analysis methods suffer from evaluation fatigue. An …
T Stewart - … Optimization: 7th International Conference, EMO 2013 …, 2013 - Springer
There are two key features to any MCDA intervention, namely the problem structuring and preference modelling to ensure that the analysis is directed at solving the right problem …
Evolutionary multiobjective optimization (EMO) methodologies have gained popularity in finding a representative set of Pareto optimal solutions in the past decade and beyond …
In this paper, an interactive version of the decomposition based multiobjective evolutionary algorithm (iMOEA/D) is proposed for interaction between the decision maker (DM) and the …
MK Tomczyk, M Kadziński - IEEE Transactions on Evolutionary …, 2019 - ieeexplore.ieee.org
We propose a decomposition-based interactive evolutionary algorithm (EA) for multiple objective optimization. During an evolutionary search, a decision maker (DM) is asked to …