A Statistical Approach to Dealing with Noisy Fitness in Evolutionary Algorithms

2015 ◽  
pp. 79-95 ◽  
Author(s):  
J. J. Merelo ◽  
Zeineb Chelly ◽  
Antonio Mora ◽  
Antonio Fernández-Ares ◽  
Anna I. Esparcia-Alcázar ◽  
...  
Keyword(s):  
Evolutionary Algorithms ◽  
Statistical Approach ◽  
Noisy Fitness

Analyzing convergence performance of evolutionary algorithms: A statistical approach

2014 ◽  
Vol 289 ◽  
pp. 41-58 ◽  
Author(s):  
Joaquín Derrac ◽  
Salvador García ◽  
Sheldon Hui ◽  
Ponnuthurai Nagaratnam Suganthan ◽  
Francisco Herrera
Keyword(s):  
Evolutionary Algorithms ◽  
Statistical Approach ◽  
Convergence Performance

Effect of Noisy Fitness in Real-Time Strategy Games Player Behaviour Optimisation Using Evolutionary Algorithms

2012 ◽  
Vol 27 (5) ◽  
pp. 1007-1023 ◽  
Author(s):  
Antonio M. Mora ◽  
Antonio Fernández-Ares ◽  
Juan J. Merelo ◽  
Pablo García-Sánchez ◽  
Carlos M. Fernandes
Keyword(s):  
Evolutionary Algorithms ◽  
Real Time ◽  
Strategy Games ◽  
Player Behaviour ◽  
Noisy Fitness

Delivering Sustainable Water Systems Using Kalman Filter and Statistical Approach

2017 ◽  
Vol 4 (1) ◽  
pp. 41-52
Author(s):  
Dedy Loebis
Keyword(s):  
Kalman Filtering ◽  
Statistical Approach ◽  
Water Systems ◽  
Data Sets ◽  
Pressure Data ◽  
Burst Event ◽  
Sample Data ◽  
Other Information ◽  
Supply Systems ◽  
Frequency Features

This paper presents the results of work undertaken to develop and test contrasting data analysis approaches for the detection of bursts/leaks and other anomalies within wate r supply systems at district meter area (DMA)level. This was conducted for Yorkshire Water (YW) sample data sets from the Harrogate and Dales (H&D), Yorkshire, United Kingdom water supply network as part of Project NEPTUNE EP/E003192/1 ). A data analysissystem based on Kalman filtering and statistical approach has been developed. The system has been applied to the analysis of flow and pressure data. The system was proved for one dataset case and have shown the ability to detect anomalies in flow and pres sure patterns, by correlating with other information. It will be shown that the Kalman/statistical approach is a promising approach at detecting subtle changes and higher frequency features, it has the potential to identify precursor features and smaller l eaks and hence could be useful for monitoring the development of leaks, prior to a large volume burst event.

A Statistical Approach to Two-Parameter Families of Triple Close Approaches in Stellar System (I)

2012 ◽  
Vol 3 (7) ◽  
pp. 306-320
Author(s):  
Ranjeet Kumar ◽  
◽  
Navin Chandra ◽  
Surekha Tomar
Keyword(s):  
Statistical Approach ◽  
Stellar System ◽  
Two Parameter

Hydrothermal alteration effects in geochemistry and Sr, Nd, Pb, and O isotopes of magmas from the Los Azufres geothermal field (Mexico): A statistical approach

2005 ◽  
Vol 39 (2) ◽  
pp. 141-163 ◽  
Author(s):  
Surendra P. Verma ◽  
Ignacio S. Torres-Alvarado ◽  
Muharrem Satir ◽  
Patrick F. Dobson
Keyword(s):  
Hydrothermal Alteration ◽  
Statistical Approach ◽  
Geothermal Field ◽  
O Isotopes

Opponent Center-Surround Contrast: Colour to Grey Conversion

2020 ◽  
Vol 2020 (1) ◽  
pp. 105-108
Author(s):  
Ali Alsam
Keyword(s):  
Evolutionary Algorithms ◽  
Three Dimensional ◽  
The State ◽  
Colour Space ◽  
Vision Science ◽  
State Of Art ◽  
Over Time

Vision is the science that informs us about the biological and evolutionary algorithms that our eyes, opticnerves and brains have chosen over time to see. This article is an attempt to solve the problem of colour to grey conversion, by borrowing ideas from vision science. We introduce an algorithm that measures contrast along the opponent colour directions and use the results to combine a three dimensional colour space into a grey. The results indicate that the proposed algorithm competes with the state of art algorithms.

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