Name
Title | ||
|---|---|---|
Reducing Human Fatigue in Interactive Evolutionary Computation Through Fuzzy Systems and Machine Learning Systems. |
Abstract | ||
|---|---|---|
We describe two approaches to reducing human fatigue in Interactive Evolutionary Computation (IEC). A predictor function is used to estimate the human user's score, thus reducing the amount of effort required by the human user during the evolution process. The fuzzy system and four machine learning classifier algorithms are presented. Their performance in a real-world application, the IEC-based design of a micromachine resonating mass, is evaluated. The fuzzy system was composed of four simple rules, but was able to accurately predict the user's score 77% of the time on average. This is equivalent to a 51% reduction of human effort compared to using EEC without the predictor. The four machine learning approaches tested were k-nearest neighbors, decision tree, Adaboosted decision tree, and support vector machines. These approaches achieved good accuracy on validation tests, but because of the great diversity in user scoring behavior, were unable to achieve equivalent results on the user test data. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/FUZZY.2006.1681784 | FUZZ-IEEE |
Keywords | Field | DocType |
decision trees,evolutionary computation,fuzzy systems,interactive systems,learning (artificial intelligence),pattern classification,support vector machines,AdaBoosted decision tree,classifier algorithm,decision tree,fuzzy system,interactive evolutionary computation,k-nearest neighbor,machine learning system,predictor function,support vector machine | k-nearest neighbors algorithm,Interactive evolutionary computation,Decision tree,Computer science,Support vector machine,Evolutionary computation,Test data,Artificial intelligence,Fuzzy control system,Machine learning,Learning classifier system | Conference |
ISSN | Citations | PageRank |
1098-7584 | 10 | 0.60 |
References | Authors | |
10 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raffi Kamalian | 1 | 20 | 2.16 |
| Eric Yeh | 2 | 10 | 0.60 |
| Ying Zhang | 3 | 34 | 2.32 |
| Alice M. Agogino | 4 | 288 | 81.04 |
| Hideyuki Takagi | 5 | 1397 | 190.33 |