On-line computation of Stackelberg equilibria with synchronous parallel genetic algorithms

DOI10.1016/S0165-1889(02)00069-6zbMath1178.91023MaRDI QIDQ951370

Nedim M. Alemdar, Sibel Sirakaya

Publication date: 24 October 2008

Published in: Journal of Economic Dynamics \& Control (Search for Journal in Brave)

zbMATH Keywords

Stackelberg equilibriumfeed-forward neural networksparallel genetic algorithms

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Multistage and repeated games (91A20)

Related Items (7)

Genetic neural networks to approximate feedback Nash equilibria in dynamic games ⋮ Backward induction algorithm for a class of closed-loop Stackelberg games ⋮ Solution for a class of closed-loop leader-follower games with convexity conditions on the payoffs ⋮ A systematic sampling evolutionary (SSE) method for stochastic bilevel programming problems ⋮ Optimal time aggregation of infinite horizon control problems ⋮ Single-leader-multiple-follower games with boundedly rational agents ⋮ Game theory based evolutionary algorithms: a review with Nash applications in structural engineering optimization problems

Cites Work

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• Distributed algorithms for the computation of noncooperative equilibria
• A genetic game of trade, growth and externalities
• Off-line computation of Stackelberg solutions with the genetic algorithm
• Learning the optimum as a Nash equilibrium

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