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: Chapter in Book/Report/Conference proceeding › Conference contribution › 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
Title of host publication	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
Publication status	Published - 5 Jun 2015

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

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.
Research output: Contribution to conference › Paper › 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. In 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 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 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. 2015.

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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.",

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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 Organising Body: University of Kragujevac",

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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. in 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. <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.
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. 2015.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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 Organising Body: University of Kragujevac

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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 - Conference contribution

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BT - 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

ER -

Benhadj-Djilali R, Fountas NA, Vaxevanidis NM, Stergiou CI. Quality research on the performance of a virus-evolutionary genetic algorithm for optimized sculptured surface CNC machining, through standard benchmarks. In 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. 2015

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

Abstract

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