Tournament Selection, Iterated Coupon-Collection Problem, and Backward-Chaining Evolutionary Algorithms

2005 ◽  
pp. 132-155 ◽  
Author(s):  
Riccardo Poli
Keyword(s):  
Evolutionary Algorithms ◽  
Backward Chaining ◽  
Tournament Selection ◽  
Coupon Collection

scholarly journals Backward-chaining evolutionary algorithms

2006 ◽  
Vol 170 (11) ◽  
pp. 953-982 ◽  
Author(s):  
Riccardo Poli ◽  
William B. Langdon
Keyword(s):  
Evolutionary Algorithms ◽  
Backward Chaining

A Comparison of Selection Schemes Used in Evolutionary Algorithms

1996 ◽  
Vol 4 (4) ◽  
pp. 361-394 ◽  
Author(s):  
Tobias Blickle ◽  
Lothar Thiele
Keyword(s):  
Evolutionary Algorithms ◽  
Optimization Method ◽  
Selection Intensity ◽  
Natural Evolution ◽  
Selection Scheme ◽  
Tournament Selection ◽  
Loss Of Diversity ◽  
Expected Fitness ◽  
Selection And Ranking ◽  
Fitness Distribution

Evolutionary algorithms are a common probabilistic optimization method based on the model of natural evolution. One important operator in these algorithms is the selection scheme, for which in this paper a new description model, based on fitness distributions, is introduced. With this, a mathematical analysis of tournament selection, truncation selection, ranking selection, and exponential ranking selection is carried out that allows an exact prediction of the fitness values after selection. The correspondence of binary tournament selection and ranking selection in the expected fitness distribution is proved. Furthermore, several properties of selection schemes are derived (selection intensity, selection variance, loss of diversity), and the three selection schemes are compared using these properties.

Das Aufstehen trainieren – Die Backward-Chaining-Methode

physiopraxis ◽  
2020 ◽  
Vol 18 (04) ◽  
pp. 44-47
Author(s):  
Rebekka Leonhardt ◽  
Michaela Groß
Keyword(s):  
Ältere Menschen ◽  
Backward Chaining

Nicht alleine vom Boden aufstehen zu können, hat für ältere Menschen nach einem Sturz schwere Folgen: Gesundheitliche und funktionelle Einschränkungen verschlechtern sich bis hin zur erhöhten Mortalität. Die Backward-Chaining-Methode hilft in der Therapie dabei, das sichere und unabhängige Aufstehen zu erlernen und Sturzangst zu mindern.

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.

PVT-Biomass-Battery systems optimized with evolutionary algorithms for small and highly shaded environments

2016 ◽  
pp. 568-573
Author(s):  
J.A. Fernández Fernández ◽  
P. González-Rodelas ◽  
E. Alameda-Hernández
Keyword(s):  
Evolutionary Algorithms ◽  
Battery Systems

Applied Process Simulation-Driven Oil and Gas Separation Plant Optimization using Surrogate Modeling and Evolutionary Algorithms

2019 ◽  
Author(s):  
Anders Andreasen
Keyword(s):  
Evolutionary Algorithms ◽  
Gas Separation ◽  
Oil And Gas ◽  
Optimal Solution ◽  
Computer Experiment ◽  
Latin Hypercube Sampling ◽  
Surrogate Models ◽  
Inlet Temperature ◽  
Separation Plant ◽  
Separation Stage

In this article the optimization of a realistic oil and gas separation plant has been studied. Two different fluids are investigated and compared in terms of the optimization potential. Using Design of Computer Experiment (DACE) via Latin Hypercube Sampling (LHS) and rigorous process simulations, surrogate models using Kriging have been established for selected model responses. The surrogate models are used in combination with a variety of different evolutionary algorithms for optimizing the operating profit, mainly by maximizing the recoverable oil production. A total of 10 variables representing pressure and temperature various key places in the separation plant are optimized to maximize the operational profit. The optimization is bounded in the variables and a constraint function is included to ensure that the optimal solution allows export of oil with an RVP < 12 psia. The main finding is that, while a high pressure is preferred in the first separation stage, apparently a single optimal setting for the pressure in downstream separators does not appear to exist. In the second stage separator apparently two different, yet equally optimal, settings are revealed. In the third and final separation stage a correlation between the separator pressure and the applied inlet temperature exists, where different combinations of pressure and temperature yields equally optimal results.<br>

Convergence Analysis and Comparison of Evolutionary Algorithms Based on Relation Model

2011 ◽  
Vol 34 (5) ◽  
pp. 801-811 ◽  
Author(s):  
Han HUANG ◽  
Zhi-Yong LIN ◽  
Zhi-Feng HAO ◽  
Yu-Shan ZHANG ◽  
Xue-Qiang LI
Keyword(s):  
Evolutionary Algorithms ◽  
Convergence Analysis ◽  
Relation Model
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