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A method combining genetic algorithm with simultaneous perturbation stochastic approximation for linearly constrained stochastic optimization problems.

Huajun ZhangJin ZhaoHui Luo
Published in: J. Comb. Optim. (2016)
Keyphrases
  • genetic algorithm
  • linearly constrained
  • dynamic programming
  • objective function
  • computational complexity
  • evolutionary algorithm
  • cost function
  • convex optimization