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Enhanced genetic operators for the resolution of discrete constrained optimization problems

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Publication:1362936
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DOI10.1016/S0305-0548(96)00054-8zbMath0885.90083OpenAlexW2032320018MaRDI QIDQ1362936

Darryn R. Reid

Publication date: 22 April 1998

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0305-0548(96)00054-8


zbMATH Keywords

crossover and mutation operatorsdiscrete constrained optimizationevolutionary and genetic algorithms


Mathematics Subject Classification ID

Integer programming (90C10) Learning and adaptive systems in artificial intelligence (68T05)


Related Items (1)

Fitting the control parameters of a genetic algorithm: an application to technical trading systems design




Cites Work

  • Applying evolutionary programming to selected control problems
  • A genetic algorithm for the talent scheduling problem
  • Genetic search with dynamic operating disciplines
  • Genetic search and the dynamic facility layout problem
  • Genetic algorithms in constrained optimization
  • A genetic algorithm for the linear transportation problem
  • Unnamed Item




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