OPTIMASI FUNGSI MULTI-OBYEKTIF BERKENDALA MENGGUNAKAN ALGORITMA GENETIKA ADAPTIF DENGAN PENGKODEAN REAL

OPTIMASI FUNGSI MULTI-OBYEKTIF BERKENDALA MENGGUNAKAN ALGORITMA GENETIKA ADAPTIF DENGAN PENGKODEAN REAL

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Multi-objective optimization problem is difficult to be solved as its objectives generally conflict with each other and its solution is not in the form of a single solution but a set of solutions. Genetic algorithms (GAs) is one of meta heuristic algorithms that may be used to solve this problem. H...

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Bibliographic Details
Main Authors: Wayan Firdaus Mahmudy, Muh. Arif Rahman
Format: Article
Language:English
Published: Informatics Department, Engineering Faculty 2011-01-01
Series:Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Subjects:
multi-objective optimization
genetic algorithms
adaptive mutation
Online Access:http://www.kursorjournal.org/index.php/kursor/article/view/28

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