A criteria to select genetic operators for solving CSP

Riff Rojas, María Cristina · SEDICI UNLP · 2000

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Riff Rojas, María Cristina

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SEDICI UNLP

Year

2000

Language

English

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Our interest is to define evolutionary algorithms to solve Constraint Satisfaction Problems (CSP), which indlude benefits of taditional resolution methods of CSPs as well as inherent characteristics of these kind of problems. In this paper we propose a criterion to be able to evaluate the perfomance of genetic operators within evolutionary algorithms that solve CSp. Facultad de Informática

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APA 7

Riff Rojas, M. C. (2000). A criteria to select genetic operators for solving CSP. http://sedici.unlp.edu.ar/handle/10915/9386

MLA

Riff Rojas, María Cristina. "A criteria to select genetic operators for solving CSP." 2000. http://sedici.unlp.edu.ar/handle/10915/9386.

Chicago

Riff Rojas, María Cristina. 2000. "A criteria to select genetic operators for solving CSP.". http://sedici.unlp.edu.ar/handle/10915/9386.

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Riff Rojas, M. C. 2000, A criteria to select genetic operators for solving CSP, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/9386 [Accessed 7 Aug. 2026].

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Title: A criteria to select genetic operators for solving CSP

Author / contributors: Riff Rojas, María Cristina

Publisher: SEDICI UNLP

Publication year: 2000

Language: English

Subjects

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Ciencias Informáticas; Algorithms; Optimization; evolutionary algorithms; constraint satisfaction; specialized genetics operators