Andere Kunden interessierten sich auch für
![Genetic Algorithm in Load Balancing problem of Cloud Computing]( "Genetic Algorithm in Load Balancing problem of Cloud Computing")
Genetic Algorithm in Load Balancing problem of Cloud Computing19,99 €![Advances in Modeling and Simulation in Textile Engineering]( "Advances in Modeling and Simulation in Textile Engineering")
Advances in Modeling and Simulation in Textile Engineering139,99 €![Optimization of Neural Network Parameter using Genetic Algorithm]( "Optimization of Neural Network Parameter using Genetic Algorithm")
Optimization of Neural Network Parameter using Genetic Algorithm32,99 €![Load Balancing in Cloud Environment]( "Load Balancing in Cloud Environment")
Load Balancing in Cloud Environment41,99 €![Introduction for designing machine element]( "Introduction for designing machine element")
Introduction for designing machine element26,99 €![Optimum Partition Parameter of Divide-And-Conquer Algorithm]( "Optimum Partition Parameter of Divide-And-Conquer Algorithm")
Optimum Partition Parameter of Divide-And-Conquer Algorithm32,99 €![OPTIMIZATION OF K-MEANS CLUSTERING USING GENETIC ALGORITHM]( "OPTIMIZATION OF K-MEANS CLUSTERING USING GENETIC ALGORITHM")
OPTIMIZATION OF K-MEANS CLUSTERING USING GENETIC ALGORITHM29,99 €
In this book a new technique is introduced by integrating two different models which are Multi Objectives Model and Genetic Algorithm to solve an unbalancing problem of assembly line. The assembly line of automobiles consists of different shops with many stations that perform different tasks. The cycle times of these tasks are not equal in each station and shop which will create an unbalance. The assembly line balancing problem is one of the focuses of research in automobile manufacturing. The model developed as demonstrated in this book is capable to produce an optimum solution to the unbalancing problem at the assembly lines. The manager can assess different assembly system design by employing this model.