Evolutionary selection of model for time constrained decision problems: A GA approach

2008 ◽  
Vol 34 (3) ◽  
pp. 1886-1892 ◽  
Author(s):  
Ching-Chang Lee ◽  
Shing-Hwang Doong
Keyword(s):  
Decision Problems ◽  
Evolutionary Selection ◽  
Selection Of

Evolutionary selection of neural networks satisfying leave-one-out criteria

2006 ◽  
Author(s):  
Giovanni Nardinocchi ◽  
Stanislaw Jankowski ◽  
Marco Balsi
Keyword(s):  
Neural Networks ◽  
Evolutionary Selection ◽  
Leave One Out ◽  
Selection Of

Application of the Deviate Method of Minimum Subordinative Degree on the Selection of Outstanding Graduates

2014 ◽  
Vol 644-650 ◽  
pp. 6313-6316
Author(s):  
Jin Si ◽  
Hai Zhu Yu ◽  
Xiao Li Chai
Keyword(s):  
College Students ◽  
Basic Principle ◽  
Learning Activities ◽  
Decision Problems ◽  
Important Work ◽  
Universities And Colleges ◽  
Complex Decision ◽  
Selection Of

How to objective, fair, justice, open selection of outstanding graduates is an important work in universities and colleges each year. For college students, the selection of outstanding graduates is the comprehensive consideration of university study and life in the four years, which is critical to the development of future employment and career. First, this paper introduces the basic principle method of minimum subordinative degree, and then considers the effect of college students through a variety of learning activities comprehensively. Finally, application examples are given in the selection of outstanding graduates. The results show that, this method is a good effective tool to solve the fuzzy uncertainly factors for complex decision problems, which has good applicability.

Evolutionary selection of interesting class association rules using genetic relation algorithm

2011 ◽  
Vol 6 (5) ◽  
pp. 431-440 ◽  
Author(s):  
Eloy Gonzales ◽  
Shingo Mabu ◽  
Karla Taboada ◽  
Kaoru Shimada ◽  
Kotaro Hirasawa
Keyword(s):  
Association Rules ◽  
Evolutionary Selection ◽  
Genetic Relation ◽  
Interesting Class ◽  
Selection Of

scholarly journals Evolutionary Selection of Individual Expectations and Aggregate Outcomes in Asset Pricing Experiments

2012 ◽  
Vol 4 (4) ◽  
pp. 35-64 ◽  
Author(s):  
Mikhail Anufriev ◽  
Cars Hommes
Keyword(s):  
Asset Pricing ◽  
Simple Model ◽  
Predictive Power ◽  
Experimental Setting ◽  
Price Behavior ◽  
Switching Model ◽  
Evolutionary Selection ◽  
Out Of Sample ◽  
Monotonic Convergence ◽  
Selection Of

In recent “learning to forecast” experiments (Hommes et al. 2005), three different patterns in aggregate price behavior have been observed: slow monotonic convergence, permanent oscillations, and dampened fluctuations. We show that a simple model of individual learning can explain these different aggregate outcomes within the same experimental setting. The key idea is evolutionary selection among heterogeneous expectation rules, driven by their relative performance. The out-of-sample predictive power of our switching model is higher compared to the rational or other homogeneous expectations benchmarks. Our results show that heterogeneity in expectations is crucial to describe individual forecasting and aggregate price behavior. (JEL C53, C91, D83, D84, G12)

scholarly journals Evolutionary selection of expectations in positive and negative feedback markets

2011 ◽  
Vol 23 (3) ◽  
pp. 663-688 ◽  
Author(s):  
Mikhail Anufriev ◽  
Cars H. Hommes ◽  
Raoul H. S. Philipse
Keyword(s):  
Negative Feedback ◽  
Evolutionary Selection ◽  
Positive And Negative Feedback ◽  
Selection Of
Sign in / Sign up

Export Citation Format

Share Document