Solving the redundancy allocation problem using a combined neural network/genetic algorithm approach

@article{Coit1996SolvingTR,
  title={Solving the redundancy allocation problem using a combined neural network/genetic algorithm approach},
  author={David W. Coit and Alice E. Smith},
  journal={Computers & OR},
  year={1996},
  volume={23},
  pages={515-526}
}
This paper optimizes a well known NP-hard combinatorial problem redundancy allocation using a combined neural network and genetic algorithm (GA) approach. The GA searches for the minimum cost solution by selecting the appropriate components for a series-parallel system, given a minimum system reliability constraint. A neural network is used to estimate the system reliability value during search. This approach is an example of a computationally efficient method to apply GA optimization to… CONTINUE READING