多準則決策(multi-criteria decision making, MCDM) 問題一直是演化式計算(
evolutionarycomputation, EC) 學門的熱門研究問題; 然而以互動式途徑整合偏好以解決多準則 …

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 …

摘要(中) 由於對決策本質的新體認, 多準則決策(Multiple Criteria Decision Making; MCDM)
方法也因此興起. 從學界關於多準則決策方面的研究文獻中, 可以看到多準則決策方法論還存在 …

Traditionally, product design problem is usually solved by means of the conjoint analysis
methods. However, the conjoint analysis methods suffer from evaluation fatigue. An …

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 …

演化式計算(Evolutionary Computations, ECs) 被應用在許多實際問題上.
由於有限的資源及不同的需求, 要解決實際問題, 其中一個困難是限制(Constraints) …

摘要學習受測者偏好模型(preference model) 以減輕受測者評估負擔(user evaluation burden)
一直是互動式演化計算(Interactive Evolutionary Computation, IEC) 應用的主要解決方案之一 …

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 …

We propose a decomposition-based interactive evolutionary algorithm (EA) for multiple
objective optimization. During an evolutionary search, a decision maker (DM) is asked to …