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 …

We (1) propose a method for accelerating the convergence of interactive evolutionary
computation (IEC) by incorporating multiple evaluation models of previous IEC users,(2) …

Recently, interactive evolutionary computation (IEC) has been extensively applied in those
systems that recommend objects, such as images and sounds, to users based on their …

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 …

噪声是影响进化计算 (evolutionary computation, 简称 EC) 算法性能的一个重要因素. 对于传统
EC 中的噪声, 已有许多研究成果, 但交互式进化计算 (interactive evolutionary computation …

Noise is one of the important factors that influence the performance of evolutionary
computation (EC). Many studies on noise were reported in traditional EC, but less in IEC …

Interactive Evolutionary Computation (IEC) is one of the effective methods for optimization
problems which is difficult to formulate the evaluation function such as human sensitivity …

We describe the effectiveness of interactive evolutionary computation (IEC) with tournament-
style evaluation to reduce the evaluation load of IEC users. Most previous studies did not …

疲勞問題(fatigue problem) 一直是互動式演化計算(interactive evolutionary computation, IEC)
領域中重要的研究問題之一. 本文以解決IEC 疲勞問題常見的適應值預測(fitness prediction) …

Users' fatigue is the biggest technological hurdle facing Interactive Evolutionary
Computation (IEC). This paper introduces the idea of “absolute scale” and “neighbour scale” …