Game theory based evolutionary algorithms: a review with Nash applications in structural engineering optimization problems
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Publication:724768
DOI10.1007/s11831-016-9187-yzbMath1394.90566OpenAlexW2522114221WikidataQ113323136 ScholiaQ113323136MaRDI QIDQ724768
Jacques Periaux, Blas Galván, David Greiner, Gabriel Winter, José María Emperador
Publication date: 26 July 2018
Published in: Archives of Computational Methods in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11831-016-9187-y
Multi-objective and goal programming (90C29) Applications of game theory (91A80) Approximation methods and heuristics in mathematical programming (90C59) Optimization problems in solid mechanics (74Pxx)
Related Items (4)
Game theory-inspired evolutionary algorithm for global optimization ⋮ Virtual Stackelberg game coupled with the adjoint method for aerodynamic shape optimization ⋮ Nash game‐based adaptive robust control design optimization for the underactuated mechanical system with fuzzy evidence theory ⋮ Nash game based efficient global optimization for large-scale design problems
Uses Software
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