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In this study, we consider the assembly line worker assignment and balancing problem of type-II (ALWABP-2). ALWABP-2 arises when task times differ depending on operator skills and concerns with the assignment of tasks and operators to stations in order to minimize the cycle time. We developed an iterative genetic algorithm (IGA) to solve this problem. In(More)
This paper presents an approach for the recognition of similar objects automatically. In the recognition system, colour features were extracted from two dimensional (2-D) pose images of every 3-D object given and the classification of the objects was realized by using these feature vectors in general regression neural networks-GRNN. The system has been(More)
Assembly lines are one of the essential parts of manufacturing systems that influence the costs and efficiency. In real world applications, the performance of human resource directly affects the efficiency of assembly lines. Heavy physical workloads along with monotonous body postures during repetitive jobs negatively affect the performance of assembly line(More)
This study presents the development of a synthesizable VHDL (very high speed integrated circuit hardware description language) model of a general regression neural network (GRNN). The GRNN has a four-layer structure which is comprised of an input layer, a pattern layer, a summation layer and an output layer. The designed system can be used for pattern(More)
The vehicle routing problem with simultaneous pickup and delivery (VRPSDP) is a common transportation problem where a fleet of vehicles deliver goods from the depot to linehaul customers and pick up goods from backhaul customers to the depot. This problem variation allows vehicles to make the delivery and pickup operations on same time by visiting(More)
Impulsive noise is a problem frequently occurred in image processing. This problem gets an importance especially when the important details in images having highly intensive impulsive noise are required to be retrieved. In this work, an artificial neural network method was developed for the purpose of reducing impulsive noise in images without removing the(More)
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