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Univariate global optimization with multiextremal non-differentiable constraints without penalty functions
Global optimization multiextremal constraints Lipschitz functions continuous index functions
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2011/8/18
Abstract: This paper proposes a new algorithm for solving constrained global optimization problems where both the objective function and constraints are one-dimensional non-differentiable multiextrema...
A New Chaotic Parameters Disturbance Annealing Neural Network
for Solving Global Optimization Problems
Hopfield neural network global optimization chaotic
parameters disturbance simulated annealing
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2007/8/15
2003Vol.39No.4pp.385-392DOI:
A New Chaotic Parameters Disturbance Annealing Neural Network
for Solving Global Optimization Problems
MA Wei and WANG Zheng-Ou
Institute of...