Neural and delay based heuristics for the Steiner problem in networks

Article Abstract:

Two heuristics can be used to resolve two types of the multipoint routing problem. The first heuristic, which is based on random neural network, deals with a routing problem that centers on lessening cost. Implementation of the neural-based heuristic revealed its ability in producing mean costs of not more than 1% or 2% from the known optimal cost. The second heuristic deals with a routing problem that has additional bounded delay requirement between the source and destination.

Artificial Intelligence Systems, Computer networks, Neural networks, Artificial intelligence

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Designing paced assembly lines with fixed number of stations

Article Abstract:

A twostage heuristic procedure was utilized to optimize workforce in assembly lines. The first stage involves creation of a viable initial solution to the problem identified. The second stage employs a simplexlike algorithm to enhance the initial solution formulated during the first stage. The procedure, which is based on integer programming, not only lessen the cycle time (type II problem) in a given number of workstations but also manages the workstation workload.

Assembly-line methods, Assembly lines

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On evaluating the performance of GSS: furthering the debate

Article Abstract:

A twin-track research approach that takes into consideration theoretical and experimental validity was presented to evaluate the performance of group support systems (GSS). The approach, which was modelled on the Profit Impact of Market Strategies (PIMS) program, aims to promote substantial validation of GSS by emphasizing theoretical and experimental aspects of validation. Consideration of experimental validity was seen to enhance the internal validity of GSS.

Management research

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