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OPTIMASI STRATEGI PEMILIHAN PEMAIN SEPAK BOLA PADA PRO EVOLUTION SOCCER 2017 MENGGUNAKAN ALGORITMA GENETIKA

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Penilaian

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This study aims to optimize the process of selecting football players in the PES 2017 game using genetic algorithms. The optimization is conducted to identify the best combination of players based on the average player ratings over a season, thereby maximizing team performance in the game. The methodology employed in this research is experimental, utilizing the application of genetic algorithms. Data collection was carried out through observation and documentation of average player ratings throughout a season in PES 2017. Data analysis involved using genetic algorithms to process player ratings, where the algorithm iterates to find the optimal player combination through selection, crossover, and mutation processes. The results of the study indicate that the use of genetic algorithms in optimizing football player selection in PES 2017 successfully generates an optimal team combination based on player rating data. This method proves to be more effective and efficient compared to conventional player selection, and it provides a more objective team composition recommendation based on actual player performance.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507002125	T164096	T1640962024	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1640962024

Publisher

: Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xiv, 84 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Teknik Informatika

Specific Detail Info

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Statement of Responsibility

EM

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