ANALISIS ALGORITMA GENETIKA UNTUK PENJADWALAN DIKLAT DI PT. INDUSTRI TELEKOMUNIKASI INDONESIA (PERSERO) BANDUNG
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Institusion
Universitas Komputer Indonesia
Author
Susanto, Rani
Subject
2007
Datestamp
2016-11-16 07:46:46
Abstract :
Problem of schedule sequence represent the complex problem which must face. Core from Training scheduling is how to schedule a number of component which consist of interest area, to the number of instructor, class, room and time in each its day and a number of constraint and definition with a purpose to in order not to happened to conflict between schedule which is one with is other. Training scheduling will be finished by using Genetic Algorithm. This algorithm can solve problem with generate an initially chromosome randomly, evaluate fitness function and using genetic operator like reproduction, crossover and mutation operator. The objective of genetic operator is to solve problems of scheduling based on decreasing of fitness value from each chromosome.
Problem of schedule sequence represent the complex problem which must face. Core from Training scheduling is how to schedule a number of component which consist of interest area, to the number of instructor, class, room and time in each its day and a number of constraint and definition with a purpose to in order not to happened to conflict between schedule which is one with is other. Training scheduling will be finished by using Genetic Algorithm. This algorithm can solve problem with generate an initially chromosome randomly, evaluate fitness function and using genetic operator like reproduction, crossover and mutation operator. The objective of genetic operator is to solve problems of scheduling based on decreasing of fitness value from each chromosome.
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