Interactive evolutionary computation with fitness noise and its convergence robustness

郝国生, 史有群, 黄永青, 吕俊怀, 郭广颂 - Journal of Software, 2007 - jos.org.cn
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 …

Fitness noise in interactive evolutionary computation and the convergence robustness

GS Hao, YQ Huang, DW Gong… - … on Intelligent Systems …, 2006 - ieeexplore.ieee.org
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 …

Accelerating Interactive Evolutionary Computation Convergence Pace by Using Over-sampling Strategy

MH Hung, FC Hsu - Soft Computing as Transdisciplinary Science and …, 2005 - Springer
Traditional evolutionary computations use random sampling strategy to gene rate their first
generation resulting in very few (if any) good solutions found in the first generation. Over …

Gradual Drifting of the User's Preference in Interactive Evolutionary Computation and its Application

H Guo-Sheng, L Lili, K Li-Fang - 2012 International Conference …, 2012 - ieeexplore.ieee.org
The difference between interactive evolution-ary computation (IEC) and traditional
evolutionary computation (TEC) is that in IEC individuals' fitness is subjectively assigned by …

Offline design of interactive evolutionary algorithms with different genetic operators at each generation

H Ishibuchi, T Sudo, K Ueba, Y Nojima - Proceedings of the 18th Asia …, 2015 - Springer
In interactive evolutionary computation (IEC), each solution is evaluated by human users.
This means that only a small number of solutions can be evaluated during the execution of …

Reducing Evaluation Fatigue in Interactive Evolutionary Algorithms by Using an Incremental Learning Approach

L Wang, P Wei, Y Chang - … Science and Technology: Proceedings of the …, 2005 - Springer
Human fatigue is one of the most important problems of Interactive Evolutionary Algorithms
(IEAs) that requires addressing. The problem of fatigue usually arises out of intensive …

Interactive evolutionary computation with minimum fitness evaluation requirement and offline algorithm design

H Ishibuchi, T Sudo, Y Nojima - SpringerPlus, 2016 - Springer
In interactive evolutionary computation (IEC), each solution is evaluated by a human user.
Usually the total number of examined solutions is very small. In some applications such as …

A novel small-population genetic algorithm based on adaptive mutation and population entropy sampling

J Zhang, C Liang, Q Lu - 2008 7th World Congress on …, 2008 - ieeexplore.ieee.org
The application of Interactive Evolutionary Computation (IEC) requires that corresponding
evolutionary algorithms should still have effective and stable performance with small …

Three research directions of interactive evolutionary computation

H Takagi - Proceedings of the 18th Online World Conference on …, 2019 - Springer
We overview three research directions of interactive evolutionary computation (IEC). They
are (1) extending IEC applications,(2) reducing IEC user fatigue by improving/developing …

Method to Reduce the Human Burden of Interactive Evolutionary Computation

M Ohsaki, H Takagi, T Ingu - Proceedings of the Korean Institute of …, 1998 - koreascience.kr
This paper introduces our three approaches to reduce the burden of human interactive EC
operators:(1) improvement of the interface of presenting individuals,(2) improvement of the …