This paper proposes an automatic structural programming system. Genetic Programming achieves success for automatic programming using the evolutionary process. However, the approach doesn't deal with the essential program concept in the sense of what is called a program in software science. It is useful that a program be structured by various sub-structures, i. e. subroutines, however, the above-mentioned approach treats a single program as one sequence. As a result of the above problem, there is a lack of reusability, flexibility, and a decreases in the possibility of use as a utilitarian programming system. In order to realize a structural programming system, this paper proposes a method which can generate a program constructed by subroutines, named formula, using the evolutionary process.
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Naohiro HONDO, Yukinori KAKAZU, "Evolutionary Approach for Automatic Programming by Formulas" in IEICE TRANSACTIONS on Fundamentals,
vol. E81-A, no. 6, pp. 1179-1182, June 1998, doi: .
Abstract: This paper proposes an automatic structural programming system. Genetic Programming achieves success for automatic programming using the evolutionary process. However, the approach doesn't deal with the essential program concept in the sense of what is called a program in software science. It is useful that a program be structured by various sub-structures, i. e. subroutines, however, the above-mentioned approach treats a single program as one sequence. As a result of the above problem, there is a lack of reusability, flexibility, and a decreases in the possibility of use as a utilitarian programming system. In order to realize a structural programming system, this paper proposes a method which can generate a program constructed by subroutines, named formula, using the evolutionary process.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e81-a_6_1179/_p
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@ARTICLE{e81-a_6_1179,
author={Naohiro HONDO, Yukinori KAKAZU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Evolutionary Approach for Automatic Programming by Formulas},
year={1998},
volume={E81-A},
number={6},
pages={1179-1182},
abstract={This paper proposes an automatic structural programming system. Genetic Programming achieves success for automatic programming using the evolutionary process. However, the approach doesn't deal with the essential program concept in the sense of what is called a program in software science. It is useful that a program be structured by various sub-structures, i. e. subroutines, however, the above-mentioned approach treats a single program as one sequence. As a result of the above problem, there is a lack of reusability, flexibility, and a decreases in the possibility of use as a utilitarian programming system. In order to realize a structural programming system, this paper proposes a method which can generate a program constructed by subroutines, named formula, using the evolutionary process.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - Evolutionary Approach for Automatic Programming by Formulas
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1179
EP - 1182
AU - Naohiro HONDO
AU - Yukinori KAKAZU
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E81-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 1998
AB - This paper proposes an automatic structural programming system. Genetic Programming achieves success for automatic programming using the evolutionary process. However, the approach doesn't deal with the essential program concept in the sense of what is called a program in software science. It is useful that a program be structured by various sub-structures, i. e. subroutines, however, the above-mentioned approach treats a single program as one sequence. As a result of the above problem, there is a lack of reusability, flexibility, and a decreases in the possibility of use as a utilitarian programming system. In order to realize a structural programming system, this paper proposes a method which can generate a program constructed by subroutines, named formula, using the evolutionary process.
ER -