Quality research on the performance of a virus-evolutionary genetic algorithm for optimized sculptured surface CNC machining, through standard benchmarks

Redha Benhadj-Djilali; Nikolaos A. Fountas; Nikolaos M. Vaxevanidis; Constantinos I. Stergiou

Quality research on the performance of a virus-evolutionary genetic algorithm for optimized sculptured surface CNC machining, through standard benchmarks

Redha Benhadj-Djilali
, Nikolaos A. Fountas
, Nikolaos M. Vaxevanidis
, Constantinos I. Stergiou

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper presents experimental results on a benchmark functions set, used for performance evaluation of Heuristics. Computational quality and robustness of a Virus-Evolutionary Genetic Algorithm developed to optimize manufacturing applications is assessed by conducting experiments and adjusting its intelligent operators so that its general computational behaviour is tuned up. Parameters considered include the generation number, population size, and virus infection operators.

Original language	English
Publication status	Published - 5 Jun 2015
Event	9th International Quality Conference May 2015 Center for Quality, Faculty of Engineering, University of Kragujevac - Kragujevac, Serbia Duration: 4 Jun 2015 → 5 Jun 2015

Conference

Conference	9th International Quality Conference May 2015 Center for Quality, Faculty of Engineering, University of Kragujevac
Period	4/06/15 → 5/06/15

Bibliographical note

Note: Paper was published in 9th International Quality Conference : Conference manual, edited by Slavko Arsovski, Miodrag Lazic and Miladin Stefanovic, Kragujevac : Faculty of Engineering, Unviersity of Kragujevac, 2015, pp.153-160. ISBN: 9788663350151.

Organising Body: University of Kragujevac

Keywords

Mechanical, aeronautical and manufacturing engineering

Access to Document

http://www.cqm.rs/2015/cd1/pdf/papers/focus_1/025.pdf

Quality research on the performance of a virus-evolutionary genetic algorithm for optimized sculptured surface CNC machining, through standard benchmarks
Benhadj-Djilali, R., Fountas, N. A., Vaxevanidis, N. M. & Stergiou, C. I., 5 Jun 2015, Paper was published in 9th International Quality Conference : Conference manual, edited by Slavko Arsovski, Miodrag Lazic and Miladin Stefanovic, Kragujevac : Faculty of Engineering, Unviersity of Kragujevac, 2015, pp.153-160. ISBN: 9788663350151. Organising Body: University of Kragujevac Organising Body: University of Kragujevac.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Cite this

Benhadj-Djilali, R., Fountas, N. A., Vaxevanidis, N. M., & Stergiou, C. I. (2015). Quality research on the performance of a virus-evolutionary genetic algorithm for optimized sculptured surface CNC machining, through standard benchmarks. Paper presented at 9th International Quality Conference May 2015 Center for Quality, Faculty of Engineering, University of Kragujevac. http://www.cqm.rs/2015/cd1/pdf/papers/focus_1/025.pdf

Benhadj-Djilali, Redha ; Fountas, Nikolaos A. ; Vaxevanidis, Nikolaos M. et al. / Quality research on the performance of a virus-evolutionary genetic algorithm for optimized sculptured surface CNC machining, through standard benchmarks. Paper presented at 9th International Quality Conference May 2015 Center for Quality, Faculty of Engineering, University of Kragujevac.

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abstract = "This paper presents experimental results on a benchmark functions set, used for performance evaluation of Heuristics. Computational quality and robustness of a Virus-Evolutionary Genetic Algorithm developed to optimize manufacturing applications is assessed by conducting experiments and adjusting its intelligent operators so that its general computational behaviour is tuned up. Parameters considered include the generation number, population size, and virus infection operators.",

keywords = "Mechanical, aeronautical and manufacturing engineering",

author = "Redha Benhadj-Djilali and Fountas, \{Nikolaos A.\} and Vaxevanidis, \{Nikolaos M.\} and Stergiou, \{Constantinos I.\}",

note = "Note: Paper was published in 9th International Quality Conference : Conference manual, edited by Slavko Arsovski, Miodrag Lazic and Miladin Stefanovic, Kragujevac : Faculty of Engineering, Unviersity of Kragujevac, 2015, pp.153-160. ISBN: 9788663350151. Organising Body: University of Kragujevac; 9th International Quality Conference May 2015 Center for Quality, Faculty of Engineering, University of Kragujevac ; Conference date: 04-06-2015 Through 05-06-2015",

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Benhadj-Djilali, R, Fountas, NA, Vaxevanidis, NM & Stergiou, CI 2015, 'Quality research on the performance of a virus-evolutionary genetic algorithm for optimized sculptured surface CNC machining, through standard benchmarks', Paper presented at 9th International Quality Conference May 2015 Center for Quality, Faculty of Engineering, University of Kragujevac, 4/06/15 - 5/06/15. <http://www.cqm.rs/2015/cd1/pdf/papers/focus_1/025.pdf>

Quality research on the performance of a virus-evolutionary genetic algorithm for optimized sculptured surface CNC machining, through standard benchmarks. / Benhadj-Djilali, Redha; Fountas, Nikolaos A.; Vaxevanidis, Nikolaos M. et al.
2015. Paper presented at 9th International Quality Conference May 2015 Center for Quality, Faculty of Engineering, University of Kragujevac.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Quality research on the performance of a virus-evolutionary genetic algorithm for optimized sculptured surface CNC machining, through standard benchmarks

AU - Benhadj-Djilali, Redha

AU - Fountas, Nikolaos A.

AU - Vaxevanidis, Nikolaos M.

AU - Stergiou, Constantinos I.

N1 - Note: Paper was published in 9th International Quality Conference : Conference manual, edited by Slavko Arsovski, Miodrag Lazic and Miladin Stefanovic, Kragujevac : Faculty of Engineering, Unviersity of Kragujevac, 2015, pp.153-160. ISBN: 9788663350151. Organising Body: University of Kragujevac

PY - 2015/6/5

Y1 - 2015/6/5

N2 - This paper presents experimental results on a benchmark functions set, used for performance evaluation of Heuristics. Computational quality and robustness of a Virus-Evolutionary Genetic Algorithm developed to optimize manufacturing applications is assessed by conducting experiments and adjusting its intelligent operators so that its general computational behaviour is tuned up. Parameters considered include the generation number, population size, and virus infection operators.

AB - This paper presents experimental results on a benchmark functions set, used for performance evaluation of Heuristics. Computational quality and robustness of a Virus-Evolutionary Genetic Algorithm developed to optimize manufacturing applications is assessed by conducting experiments and adjusting its intelligent operators so that its general computational behaviour is tuned up. Parameters considered include the generation number, population size, and virus infection operators.

KW - Mechanical, aeronautical and manufacturing engineering

M3 - Paper

T2 - 9th International Quality Conference May 2015 Center for Quality, Faculty of Engineering, University of Kragujevac

Y2 - 4 June 2015 through 5 June 2015

ER -

Quality research on the performance of a virus-evolutionary genetic algorithm for optimized sculptured surface CNC machining, through standard benchmarks

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Research output

Quality research on the performance of a virus-evolutionary genetic algorithm for optimized sculptured surface CNC machining, through standard benchmarks

Cite this