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A center-of-gravity-based recombination operator for genetic algorithms

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A center-of-gravity-based recombination operator for genetic algorithms. / Angelov, P. P.; Wright, J. A.
IECON Proceedings (Industrial Electronics Conference). IEEE Computer Society Press, 2000. p. 259-264 973160 (IECON Proceedings (Industrial Electronics Conference); Vol. 1).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Angelov, PP & Wright, JA 2000, A center-of-gravity-based recombination operator for genetic algorithms. in IECON Proceedings (Industrial Electronics Conference)., 973160, IECON Proceedings (Industrial Electronics Conference), vol. 1, IEEE Computer Society Press, pp. 259-264. https://doi.org/10.1109/IECON.2000.973160

APA

Angelov, P. P., & Wright, J. A. (2000). A center-of-gravity-based recombination operator for genetic algorithms. In IECON Proceedings (Industrial Electronics Conference) (pp. 259-264). Article 973160 (IECON Proceedings (Industrial Electronics Conference); Vol. 1). IEEE Computer Society Press. https://doi.org/10.1109/IECON.2000.973160

Vancouver

Angelov PP, Wright JA. A center-of-gravity-based recombination operator for genetic algorithms. In IECON Proceedings (Industrial Electronics Conference). IEEE Computer Society Press. 2000. p. 259-264. 973160. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON.2000.973160

Author

Angelov, P. P. ; Wright, J. A. / A center-of-gravity-based recombination operator for genetic algorithms. IECON Proceedings (Industrial Electronics Conference). IEEE Computer Society Press, 2000. pp. 259-264 (IECON Proceedings (Industrial Electronics Conference)).

Bibtex

@inproceedings{d0b010c1d7074bd180cef878e9782d79,
title = "A center-of-gravity-based recombination operator for genetic algorithms",
abstract = "A new recombination operator is introduced and treated in the paper. It performs specific crossover (breeding) between the two fittest parental chromosomes producing a new child chromosome, which is based on the center of gravity (CoG) paradigm. This new child chromosome is one of the members of the new population. The rest of the chromosomes are produced by the conventional procedures. The new operator could be used both in a binary as well as a real-coded GA.. The insight of the proposed mechanism as well as the test results indicate that it leads to better results in most cases or at least the same results as without its use. With almost no increasing computational expenses the speed of convergence as well as the final result in tests surpass the conventional approach. This new approach has been tested with a practical problem of scheduling of the supply air temperature and flow rate to a ventilated slab thermal storage system as well as with a number of numerical test functions. All results demonstrate its superiority compared with the case when CoG is not used.",
keywords = "center of gravity, Genetic algorithms, recombination operators",
author = "Angelov, {P. P.} and Wright, {J. A.}",
year = "2000",
month = jan,
day = "1",
doi = "10.1109/IECON.2000.973160",
language = "English",
isbn = "0780364562",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society Press",
pages = "259--264",
booktitle = "IECON Proceedings (Industrial Electronics Conference)",

}

RIS

TY - GEN

T1 - A center-of-gravity-based recombination operator for genetic algorithms

AU - Angelov, P. P.

AU - Wright, J. A.

PY - 2000/1/1

Y1 - 2000/1/1

N2 - A new recombination operator is introduced and treated in the paper. It performs specific crossover (breeding) between the two fittest parental chromosomes producing a new child chromosome, which is based on the center of gravity (CoG) paradigm. This new child chromosome is one of the members of the new population. The rest of the chromosomes are produced by the conventional procedures. The new operator could be used both in a binary as well as a real-coded GA.. The insight of the proposed mechanism as well as the test results indicate that it leads to better results in most cases or at least the same results as without its use. With almost no increasing computational expenses the speed of convergence as well as the final result in tests surpass the conventional approach. This new approach has been tested with a practical problem of scheduling of the supply air temperature and flow rate to a ventilated slab thermal storage system as well as with a number of numerical test functions. All results demonstrate its superiority compared with the case when CoG is not used.

AB - A new recombination operator is introduced and treated in the paper. It performs specific crossover (breeding) between the two fittest parental chromosomes producing a new child chromosome, which is based on the center of gravity (CoG) paradigm. This new child chromosome is one of the members of the new population. The rest of the chromosomes are produced by the conventional procedures. The new operator could be used both in a binary as well as a real-coded GA.. The insight of the proposed mechanism as well as the test results indicate that it leads to better results in most cases or at least the same results as without its use. With almost no increasing computational expenses the speed of convergence as well as the final result in tests surpass the conventional approach. This new approach has been tested with a practical problem of scheduling of the supply air temperature and flow rate to a ventilated slab thermal storage system as well as with a number of numerical test functions. All results demonstrate its superiority compared with the case when CoG is not used.

KW - center of gravity

KW - Genetic algorithms

KW - recombination operators

U2 - 10.1109/IECON.2000.973160

DO - 10.1109/IECON.2000.973160

M3 - Conference contribution/Paper

AN - SCOPUS:84969141489

SN - 0780364562

T3 - IECON Proceedings (Industrial Electronics Conference)

SP - 259

EP - 264

BT - IECON Proceedings (Industrial Electronics Conference)

PB - IEEE Computer Society Press

ER -