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Many complex aeronautical design problems can be formulated with
efficient multi-objective evolutionary optimization methods and
game strategies. 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". Multi objective Optimization
techniques and robust design problems taking into account
uncertainties are introduced and explained in detail. Several
applications dealing with civil aircraft and UAV, UCAV systems are
implemented numerically and discussed. Applications of increasing
optimization complexity are presented as well as two hands-on test
cases problems. These examples focus on aeronautical applications
and will be useful to the practitioner in the laboratory or in
industrial design environments. The evolutionary methods coupled
with games presented in this volume can be applied to other areas
including surface and marine transport, structures, biomedical
engineering, renewable energy and environmental problems. This book
will be of interest to students, young scientists and engineers
involved in the field of multi physics optimization.
Many complex aeronautical design problems can be formulated with
efficient multi-objective evolutionary optimization methods and
game strategies. 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”. Multi objective Optimization
techniques and robust design problems taking into account
uncertainties are introduced and explained in detail.Â
Several applications dealing with civil aircraft and UAV, UCAV
systems are implemented numerically and discussed.Â
Applications of increasing optimization complexity are presented as
well as two hands-on test cases problems. These examples focus on
aeronautical applications and will be useful to the practitioner in
the laboratory or in industrial design environments. The
evolutionary methods coupled with games presented in this volume
can be applied to other areas including surface and marine
transport, structures, biomedical engineering, renewable energy and
environmental problems. This book will be of interest to students,
young scientists and engineers involved in the field of multi
physics optimization.
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Tommy - Book 1 (Paperback)
Andres Varela; Illustrated by Carlos Felipe Gonzalez; Edited by German Hernandez
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R300
Discovery Miles 3 000
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Ships in 10 - 15 working days
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