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Inserting problem-specific knowledge in multirecombined evolutionary algorithms

Pandolfi, Daniel et al · SEDICI UNLP · 2002

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Author / responsible party
Pandolfi, Daniel et al
Publisher
SEDICI UNLP
Year
2002
Language
English

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In the restricted single-machine common due date problem the goal is to find a schedule for the n jobs which jointly minimizes the sum of earliness and tardiness penalties, while for the weighted tardiness problem the goal is to find a schedule that minimizes the tardiness penalties. Both problems, even in theirs simplest formulations, are an NP-Hard optimization problem. This presentation discusses how problem specific knowledge is inserted into the evolutionary algorithm to enhance its performance. Eje: Sistemas inteligentes Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Pandolfi, D. E. A. (2002). Inserting problem-specific knowledge in multirecombined evolutionary algorithms. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/22065

MLA

Pandolfi, Daniel et al. Inserting problem-specific knowledge in multirecombined evolutionary algorithms. SEDICI UNLP, 2002. http://sedici.unlp.edu.ar/handle/10915/22065.

Chicago

Pandolfi, Daniel et al. 2002. Inserting problem-specific knowledge in multirecombined evolutionary algorithms. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/22065.

Harvard

Pandolfi, D. E. A. 2002, Inserting problem-specific knowledge in multirecombined evolutionary algorithms, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/22065 [Accessed 8 Aug. 2026].

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Title
Inserting problem-specific knowledge in multirecombined evolutionary algorithms
Author / contributors
Pandolfi, Daniel et al
Publisher
SEDICI UNLP
Publication year
2002
Language
English

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Ciencias Informáticas; Inserting problem-specific knowledge; multirecombined evolutionary algorithms; ARTIFICIAL INTELLIGENCE; Knowledge acquisition; Algorithms
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