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Your search keyword '"Kaufmann, Paul"' showing total 9 results
Start Over Author "Kaufmann, Paul" Topic evolutionary computation
9 results on '"Kaufmann, Paul"'

1. Multi-strategy differential evolution

Author

Yaman, A., Iacca, G., Coler, M., Fletcher, G.H.L., Pechenizkiy, M., Sim, Kevin, Kaufmann, Paul, Integrated Circuits, Database Group, Data Mining, and Culture, Language & Technology

Subjects
Continuous optimization, Mathematical optimization, education.field_of_study, Optimization problem, Computer science, Parameter control, Population, 020206 networking & telecommunications, 02 engineering and technology, Evolutionary computation, Public records, Differential evolution, Continuous optimization, Differential evolution, Parameter control, Strategy adaptation, 0202 electrical engineering, electronic engineering, information engineering, Benchmark (computing), 020201 artificial intelligence & image processing, Strategy adaptation, education, Adaptation (computer science), Evolutionary Computation, optimization problem
Abstract

We propose the Multi-strategy Differential Evolution (MsDE) algorithm to construct and maintain a self-adaptive ensemble of search strategies while solving an optimization problem. The ensemble of strategies is represented as agents that interact with the candidate solutions to improve their fitness. In the proposed algorithm, the performance of each agent is measured so that successful strategies are promoted within the ensemble. We propose two performance measures, and show their effectiveness in selecting successful strategies. We then present three population adaptation mechanisms, based on sampling, clone-best and clone-multiple adaptation schemes. The MsDE with different performance measures and population adaptation schemes is tested on the CEC2013 benchmark functions and compared with basic DE and with Self-Adaptive DE (SaDE). Our results show that MsDE is capable of efficiently adapting the strategies and parameters of DE and providing competitive results with respect to the state-of-the-art.

Published
2018

2. EvoApplications: 2017: 20th European Conference on the Applications of Evolutionary Computation, Amsterdam; Netherlands; 19-21 April 2017

Author

Squillero, Giovanni, Sim, Kevin, Ascheid, Gerd, Bacardit, Jaume, Brabazon, Anthony, Burelli, Paolo, Cagnoni, Stefano, Coler, Matt, Cotta, Carlos, D'Andreagiovanni, Fabio, Divina, Federico, Esparcia-Alcázar, Anna I., de Vega, Francisco Fernández, Glette, Kyrre, Haasdijk, Evert, Heinerman, Jacqueline, Hidalgo, J. Ignacio, Hu, Ting, Iacca, Giovanni, Kampouridis, Michael, Kaufmann, Paul, Mavrovouniotis, Michalis, Mora Garcia, Antonio M., Schaefer, Robert, Silva, Sara, Tarantino, Ernesto, Nguyen, Trung Thanh, Tonda, Alberto, Urquhart, Neil, and Zhang, Mengjie

Subjects
applications, Evolutionary computation
Abstract

Proceedings of the European Conference on the Applications of Evolutionary Computation, EvoApplications 2017; Amsterdam; Netherlands; 19 -21 April 2017

Published
2017

3. Fundamental Flowers: Evolutionary Discovery of Coresets for Classification

Author

Barbiero, Pietro, Tonda, Alberto, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Kaufmann, Paul, editor, and Castillo, Pedro A., editor

Published
2019
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4. Evolving Trust Formula to Evaluate Data Trustworthiness in VANETs Using Genetic Programming

Author

Aslan, Mehmet, Sen, Sevil, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Kaufmann, Paul, editor, and Castillo, Pedro A., editor

Published
2019
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5. Early Detection of Botnet Activities Using Grammatical Evolution

Author

Yilmaz, Selim, Sen, Sevil, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Kaufmann, Paul, editor, and Castillo, Pedro A., editor

Published
2019
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6. On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets

Author

Hallawa, Ahmed, Zechendorf, Elisabeth, Song, Yi, Schmeink, Anke, Peine, Arne, Marin, Lukas, Ascheid, Gerd, Dartmann, Guido, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Kaufmann, Paul, editor, and Castillo, Pedro A., editor

Published
2019
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7. Evolutionary Computation Techniques for Constructing SAT-Based Attacks in Algebraic Cryptanalysis

Author

Pavlenko, Artem, Semenov, Alexander, Ulyantsev, Vladimir, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Kaufmann, Paul, editor, and Castillo, Pedro A., editor

Published
2019
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8. CardNutri: A Software of Weekly Menus Nutritional Elaboration for Scholar Feeding Applying Evolutionary Computation

Author

Moreira, Rafaela P. C., Wanner, Elizabeth F., Martins, Flávio V. C., Sarubbi, João F. M., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Sim, Kevin, editor, and Kaufmann, Paul, editor

Published
2018
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9. Reconsideration and extension of Cartesian genetic programming

Author

Kalkreuth, Roman Tobias, Rudolph, Günter, and Kaufmann, Paul

Subjects
Evolution��re Programmierung, Genetische Programmierung, Evolutionary computation, Genetic programming, Cartesian genetic programming
Abstract

This dissertation aims on analyzing fundamental concepts and dogmas of a graph-based genetic programming approach called Cartesian Genetic Programming (CGP) and introduces advanced genetic operators for CGP. The results of the experiments presented in this thesis lead to more knowledge about the algorithmic use of CGP and its underlying working mechanisms. CGP has been mostly used with a parametrization pattern, which has been prematurely generalized as the most efficient pattern for standard CGP and its variants. Several parametrization patterns are evaluated with more detailed and comprehensive experiments by using meta-optimization. This thesis also presents a first runtime analysis of CGP. The time complexity of a simple (1+1)-CGP algorithm is analyzed with a simple mathematical problem and a simple Boolean function problem. In the subfield of genetic operators for CGP, new recombination and mutation techniques that work on a phenotypic level are presented. The effectiveness of these operators is demonstrated on a widespread set of popular benchmark problems. Especially the role of recombination can be seen as a big open question in the field of CGP, since the lack of an effective recombination operator limits CGP to mutation-only use. Phenotypic exploration analysis is used to analyze the effects caused by the presented operators. This type of analysis also leads to new insights into the search behavior of CGP in continuous and discrete fitness spaces. Overall, the outcome of this thesis leads to a reconsideration of how CGP is effectively used and extends its adaption from Darwin's and Lamarck's theories of biological evolution.

Published
2021

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