Neurogenetic Approach for Solving Dynamic Programming Problems

  • Matheus Giovanni Pires
  • Ivan Nunes da Silva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6114)


Dynamic programming has provided a powerful approach to solve optimization problems, but its applicability has sometimes been limited because of the high computational effort required by the conventional algorithms. This paper presents an association between Hopfield networks and genetic algorithms, which cover extensive search spaces and guarantee the convergence of the system to the equilibrium points that represent feasible solutions for dynamic programming problems.


Dynamic programming genetic algorithms Hopfield network 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Matheus Giovanni Pires
    • 1
    • 2
  • Ivan Nunes da Silva
    • 1
    • 2
  1. 1.Department of Computer EngineeringState University of Feira de SantanaFeira de SantanaBrazil
  2. 2.Department of Electrical EngineeringUniversity of São PauloSão CarlosBrazil

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