Fuzzy multilevel programming with a hybrid intelligent algorithm
In order to model fuzzy decentralized decision-making problem, fuzzy expected value multilevel programming and chance-constrained multilevel programming are introduced. Furthermore, fuzzy simulation, neural network, and genetic algorithm are integrated to produce a hybrid intelligent algorithm for finding the Stackelberg-Nash equilibrium. Finally, two numerical examples are provided to illustrate the effectiveness of the hybrid intelligent algorithm. (c) 2005 Elsevier Ltd. All rights reserved.
multilevel programming neural network genetic algorithm fuzzy programming