Comparative analysis of the method of assignment by classes in GAVaPS

Lanzarini, Laura Cristina et al · SEDICI UNLP · 2000

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Lanzarini, Laura Cristina et al

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SEDICI UNLP

Year

2000

Language

English

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Three alternatives within the method of assignment by classes are presented for the calculation of individuals lifetime in genetic algorithms with varying population size. (GAVaPS). In the proposed strategy (assignment by classes) individuals are grouped according to their fitness. The purpose is to use the allowed range of lifetime values in a way which is more suitable to search the optimum than proportional, linear and bilinear strategies. A comparative study of three possibilities of assignment by classes as related to the traditional methods is carried out, and results are shown over five functions. Finally, some conclusions are presented, along with possible future lines of work. Facultad de Informática

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APA 7

Lanzarini, L. C. E. A. (2000). Comparative analysis of the method of assignment by classes in GAVaPS. http://sedici.unlp.edu.ar/handle/10915/9389

MLA

Lanzarini, Laura Cristina et al. "Comparative analysis of the method of assignment by classes in GAVaPS." 2000. http://sedici.unlp.edu.ar/handle/10915/9389.

Chicago

Lanzarini, Laura Cristina et al. 2000. "Comparative analysis of the method of assignment by classes in GAVaPS.". http://sedici.unlp.edu.ar/handle/10915/9389.

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Lanzarini, L. C. E. A. 2000, Comparative analysis of the method of assignment by classes in GAVaPS, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/9389 [Accessed 7 Aug. 2026].

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Title: Comparative analysis of the method of assignment by classes in GAVaPS

Author / contributors: Lanzarini, Laura Cristina et al

Publisher: SEDICI UNLP

Publication year: 2000

Language: English

Subjects

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Ciencias Informáticas; Algorithms; Heuristic methods; evolutive computation; genetic algorithms; genetic algorithms with varying population size