Author/Authors
KOCAMAZ, Murat Ege Üniversitesi - Iktisadi ve Idari Bilimler Fakültesi - Isletme Bölümü, Turkey , ÇIÇEKLI, Ural Gökay Ege Üniversitesi - Iktisadi ve Idari Bilimler Fakültesi - Isletme Bölümü, Turkey
Title Of Article
EFFICIENCY OF MUTATION RATE FOR PARALLEL MACHINE SCHEDULING WITH GENETIC ALGORITHM
شماره ركورد
44203
Abstract
Genetic algorithms (GA) have been extensively used in parallel machine scheduling as a type of heuristic method. Depends on rate of operators, GA represents affirmative or negative performance. One of these operators is mutation rate. In this study, we addressed efficiency of mutation rate on GA for parallel machine scheduling.
From Page
199
NaturalLanguageKeyword
genetic algorithm , mutation rate
JournalTitle
Ege Academic Review (EAR)
To Page
210
JournalTitle
Ege Academic Review (EAR)
Link To Document