Evolutionary Strategies for Multidisciplinary ... - Dynardo GmbH

More documents

Recommendations

Info

MDO ASF ® Disciplines Damage according to insurance classification, Component Model, 2 CPUs Global dynamic stiffness, Trimmed Body, 1 CPU Front Crash (EURO NCAP), Complete Body 4 CPUs Resources per Design: 7 CPUs, approx. 23h 38
MDO Run Comparison Initial design, constraints violated Masse Mass Mass Best so far optimizer Optimum (exp. 924), Constraints satisfied Increased weight! Optimum (exp. 376), Constraints satisfied Decreased weight! 39
Page 1 and 2: Evolutionary Strategies for Multidi
Page 3 and 4: Background I Biology = Engineering
Page 5 and 6: Optimization f : objective function
Page 7 and 8: Dynamic Optimization Dynamic Functi
Page 9 and 10: The Fundamental Challenge Global co
Page 11 and 12: Evolution Strategies 11
Page 13 and 14: Evolution Strategy - Basics Mostly
Page 15 and 16: Evolution Strategy: Algorithms Muta
Page 17 and 18: Operators: Mutation - one σ Thereb
Page 19 and 20: Evolution Strategy Algorithms Selec
Page 21 and 22: Operators: Selection Possible occur
Page 23 and 24: Self-adaptation Self adaptation No
Page 25 and 26: Self-adaptation Self adaptation: :
Page 27 and 28: Mixed-Integer Mixed Integer Evoluti
Page 29 and 30: Mixed-Integer Mixed Integer ES: Mut
Page 31 and 32: Multidisciplinary Optimization (MDO
Page 33 and 34: MDO Crash / Statics / Dynamics Mini
Page 35 and 36: MDO Production Runs (II) Mass NuTec
Page 37: MDO ASF ® Front Optimization Pre-o
Page 41: Corporate Headquarters: Charlotte,

Evolutionary Strategies for Multidisciplinary ... - Dynardo GmbH

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?