http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Evolutionary optimization and game strategies for advanced multi-disciplinary design
applications to aeronautics and UAV design
xxi, 305 pages : illustrations (some color) ; 24 cm.
This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization. These tools use the concept of multi-population, asynchronous parallelization and hierarchical topology which allows different models including precise, intermediate and approximate models with each node belonging to the different hierarchical layer handled by a different Evolutionary Algorithm. The efficiency of evolutionary algorithms for both single and multi-objective optimization problems are significantly improved by the coupling of EAs with games and in particular by a new dynamic methodology named Hybridized Nash-Pareto games.
Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee.
International series on intelligent systems, control and automation--science and engineering ; 75