• DOI:10.1016/j.compchemeng.2007.01.004
Corpus ID: 39026571

Pinch multi-agent genetic algorithm for optimizing water-using networks

@article{Cao2007PinchMG,
  title={Pinch multi-agent genetic algorithm for optimizing water-using networks},
  author={Kai Cao and Xiao Feng and Hang Ma},
  journal={Comput. Chem. Eng.},
  year={2007},
  volume={31},
  pages={1565-1575}
}

Kai Cao, Xiao Feng, Hang Ma

Published 2007

Engineering, Computer Science

Comput. Chem. Eng.

A new genetic algorithm, pinch multi-agent genetic algorithm (PMAGA), is developed for optimizing water-using networks. All agents are fixed on a lattice, and they will compete or cooperate to increase their energy. On the other hand, agents can also increase their energy with knowledge. For single contaminant water-using systems, PMAGA and other algorithms as well as Lingo can find the same minimum freshwater consumption. For multiple contaminants systems, it can find the same or better… CONTINUE READING

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