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A multiple-population evolutionary approach to gate matrix layout

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Publication:4653445
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DOI10.1080/00207720310001657054zbMath1067.94595OpenAlexW1997323952WikidataQ58072461 ScholiaQ58072461MaRDI QIDQ4653445

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Publication date: 7 March 2005

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720310001657054


Mathematics Subject Classification ID

Analytic circuit theory (94C05)


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A biased random-key genetic algorithm for the minimization of open stacks problem



Cites Work

  • Unnamed Item
  • Nonconstructive advances in polynomial-time complexity
  • On a pattern sequencing problem to minimize the maximum number of open stacks
  • Connections between cutting-pattern sequencing, VLSI design, and flexible machines
  • Evolutionary learning of rule premises for fuzzy modelling
  • An evolutionary algorithm for parallel mapping of backpropagation learning on heterogeneous processor networks
  • Fixed-Parameter Tractability and Completeness I: Basic Results
  • Multicriteria optimization using a genetic algorithm for determining a Pareto set
  • A memetic algorithm for the total tardiness single machine scheduling problem
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